Table of Content

20 February 2016 Volume 43 Issue 1

  

Original Articles

Multi-target tracking algorithm aided by a high resolution range profile

JIN Biao;SU Tao;LI Yanyan;ZHANG Long

J4. 2016, 43(1):  1-6+29.  doi:10.3969/j.issn.1001-2400.2016.01.001

Abstract ( 610 )   PDF (615KB) ( 580 )   Save

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When the tracks of the multi-target get approached or crossed, it is easy to lead to combining or even to get wrong tracks for the traditional tracking methods, since the traditional methods only utilize the information on the target position to finish the data association. Aiming at this problem, a multi-target tracking algorithm aided by the high resolution range profile (HRRP) is proposed in this paper. Firstly, the target attitude angle is estimated in real time on the principle that the HRRP is sensitive to the attitude angle. And then the attitude angle is added to the target measurement state to construct a multi-dimension correlating gate. The data association is accomplished with the multi-dimension information. So the problem of multi-target data association is simplified to multiple sub-problems of data association for a single target. Finally, each target motion state is estimated by the probabilistic data association-unscented Kalman filter (PDA-UKF). Simulation results reveal that the computing complexity is reduced, and that the correct probability of data association is improved by using the target HRRP on the one hand. On the other hand, the tracking accuracy is improved with the aid of the target attitude angle.

Network selection algorithm in heterogeneous wireless networks based on residual service time

DU Bai;LI Hongyan

J4. 2016, 43(1):  7-11.  doi:10.3969/j.issn.1001-2400.2016.01.002

Abstract ( 463 )   PDF (629KB) ( 374 )   Save

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We propose a network selection algorithm based on the residual service time for the network selection problem in heterogeneous networks. There have been already many research works and achievements in this area, but most of the existing works just consider the optimal user or network revenue which does not consider the impact of new users. This paper presents the concept of the residual service time, and uses it to model the impact of the new users, in order to get a better network option on long time scales. In this paper, we use the non-cooperative game to model the network, and prove that the Nash equilibrium of the model is also the global optimal solution. Finally, we use the Lyapunov stability theory to show that the proposed algorithm is stable. Simulation results show that the introduction of the residual service time can improve the network performance, reduce the blocking rate, and increase the total network revenue.

Adaptive sparse representation and total variation constraint based image reconstruction

WANG Yong;FENG Tangzhi;CHEN Chuchu;QIAO Qianqian;YANG Xiaoyu;WANG Guodong

J4. 2016, 43(1):  12-17+109.  doi:10.3969/j.issn.1001-2400.2016.01.003

Abstract ( 557 )   PDF (1896KB) ( 474 )   Save

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In view of the limitation of fixed complete orthogonal transformation, represented by two-dimensional wavelet transform and discrete cosine transform in compressed sensing high-resolution image reconstruction, this paper proposes a new method for high-resolution image reconstruction based on adaptive redundant dictionary sparse representation with the total variation constraint.The algorithm takes the intermediate image in the process of iteration as the training sample to get a redundant dictionary suitable for sample characteristics by adaptive learning. It makes full use of the correlation between dictionary atoms and the image to get an ideal complete sparse representation, thus reducing the sampling rate and improving the quality of image reconstruction. Finally, the algorithm takes the total variation as a constraint and uses the split Bregman iterative method to solve the sparse optimization problem. Simulation shows that the proposed method can reconstruct high quality images under a low sampling rate.

InSAR noise reduction using adaptive dictionary learning

LUO Xiaomei;SUO Zhiyong;LIU Qiegen

J4. 2016, 43(1):  18-23.  doi:10.3969/j.issn.1001-2400.2016.01.004

Abstract ( 590 )   PDF (7211KB) ( 274 )   Save

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We consider the phase noise filtering problem for interferometric synthetic aperture radar (InSAR) based on the dictionary learning technique. Due to the non-convexity of the optimization problem is difficult to solve. By using the splitting technique and employing the augmented Lagrangian framework, we obtain a relaxed nonlinear constraint optimization problem with l₁-norm regularization which can be solved efficiently by the alternating direction method of multipliers (ADMM). Specifically, we firstly train dictionaries from the InSAR complex phase data, and then reconstruct the desired complex phase image from the sparse representation. Simulation results based on simulated and measured data show that this new InSAR phase noise reduction method has a much better performance than several classical phase filtering methods in terms of residual count, mean square error (MSE) and preservation of the fringe completeness.

Blind carrier frequency offset estimation for OFDM in non-cooperative communication

LIU Mingqian;LI Bingbing;HUANG Shaodong

J4. 2016, 43(1):  24-29.  doi:10.3969/j.issn.1001-2400.2016.01.005

Abstract ( 562 )   PDF (566KB) ( 380 )   Save

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In view of the problem of poor carrier frequency offset estimation performance over multipath channels for orthogonal frequency division multiplexing(OFDM) systems in non-cooperative communication, a new blind carrier frequency offset(CFO) estimation method is proposed. Firstly, the cost function based on the difference in amplitude is proposed. Secondly, the terminal cost function is derived by the product of the adjacent subcarrier's amplitude. Finally, the CFO estimation based on the polynomial interpolation is realized by the transformation cost function. Simulations show that the proposed CFO estimation method has a better performance and lower computational complexity over the multipath channels.

Iterative dimension-reduced robust adaptive beamformer for MIMO radar

YU Hongbo;FENG Dazheng;XIE Hu

J4. 2016, 43(1):  30-35.  doi:10.3969/j.issn.1001-2400.2016.01.006

Abstract ( 472 )   PDF (553KB) ( 387 )   Save

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Aiming at the transmitted and received steering vectors mismatch problem, an iterative dimension-reducing robust adaptive beamformer for MIMO radar is presented. The General Linear Combined(GLC) method is applied in MIMO radar to obtain the enhanced covariance matrix estimation, and the transmitted and received steering vectors mismatch model is established. The cost function is established based on the desired signal output power maximum principle to estimate the transmitted and received steering vectors. The bi-iteration method is proposed to solve the cost function and it is merely necessary to find out two low-dimensional convex quadratically constrained quadratic programming(QCQP) problems in per iteration. Simulation results show that the proposed method can obtain the higher output signal-to-noise-plus-interference(SINR) under the condition of severe steering vector mismatch than the conventional robust beamformers, and that the proposed method can converge fast so that it has the lower computational complexity.

Fast randommultiple kernel learning for classification

SUN Tao;FENG Jie

J4. 2016, 43(1):  36-40.  doi:10.3969/j.issn.1001-2400.2016.01.007

Abstract ( 499 )   PDF (454KB) ( 506 )   Save

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Multiple kernel learning (MKL) combines multiple kernels in a convex optimization framework and seeks the best line combination of them. Generally, MKL can get better results than single kernel learning, but heavy computational burden makes MKL impractical. Inspired by the extreme learning machine (ELM), a novel fast MKL method based on the random kernel is proposed. When the framework of ELM is satisfied, the kernel parameters can be given randomly, which produces the random kernel. Thus, the sub-kernel scale is reduced largely, which accelerates the training time and saves the memory. Furthermore, the reduced kernel scale can reduce the error bound of MKL by analyzing the empirical Rademacher complexity of MKL. It gives a theoretical guarantee that the proposed method gets a higher classification accuracy than traditional MKL methods. Experiments indicate that the proposed method uses a faster speed, more small memory and gets better results than several classical fast MKL methods.

Design of highly selective band-notched ultra-wideband antenna

LI Tong;CAO Xiangyu;GAO Jun;ZHAI Huiqing;LIANG Changhong

J4. 2016, 43(1):  41-46.  doi:10.3969/j.issn.1001-2400.2016.01.008

Abstract ( 444 )   PDF (1808KB) ( 398 )   Save

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The resonant properties of the interdigital capacitance loading loop resonator (IDCLLR) and its dual counterpart complimentary interdigital capacitance loading loop resonator (CIDCLLR) are studied. Due to the high capacitance/inductance of the IDCLLR/CIDCLLR, the resonators can generate lower resonant frequencies and narrower resonant bandwidths than many other structures. A compact ultra-wideband (UWB) antenna with quadruple sharp band-notching characteristics is presented by utilizing IDCLLRs and CIDCLLRs. Measured results show that the proposed antenna has a wide bandwidth from 3 to 11GHz(VSWR<2), with four sharp notched bands centered on 3.5, 5.2, 5.8 and 7.5GHz, respectively, avoiding the elimination of many useful frequencies. Moreover, the presence of IDCLLRs and CIDCLLRs scarcely affects the performance of the UWB antenna at its operating frequencies.

Release time aware divisible-load scheduling optimization model

WANG Xiaoli;WANG Yuping;MENG Kun

J4. 2016, 43(1):  47-53.  doi:10.3969/j.issn.1001-2400.2016.01.009

Abstract ( 703 )   PDF (1376KB) ( 649 )   Save

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Divisible-load scheduling has become an increasingly hot subject in the research on information technologies in recent years. Most existing divisible-load scheduling models assume that all processors are idle at the beginning of workload assignment. In fact, many processors may still in the busy state when a new workload arrives. Processors may have different waiting times from the busy state to the idle, that is, processors have different release times. This paper proposes a new release time aware divisible-load scheduling model with hybrid time constraints and designs an effective global optimization genetic algorithm to solve it. Finally, experimental results show the effectiveness of the proposed model and the efficiency of the proposed algorithm.

Band performance analysis method of spectrum detection about infrared stealth aircraft

LIN Tao;LIU Fei;WANG Yi;ZHANG Jianqi

J4. 2016, 43(1):  54-59+81.  doi:10.3969/j.issn.1001-2400.2016.01.010

Abstract ( 445 )   PDF (790KB) ( 327 )   Save

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The performance of the selected bands in stealth aircraft target multi-spectral detection is hard to analyze and evaluate. A unit energy spectrum detection system is designed to analyze the selected detection band, demonstrating the availability of the selected detection bands. The selected narrow band receives less energy than the traditional wide band, while the signal itself can not represent the performance of target detection. By analyzing the unit energy spectrum detection principle and considering the alternative model of the system signal, the model of the wave quality factor is established to objectively analyze the performance of the selected band in different visibilities, cloud backgrounds and detection ranges. The result shows that the unit energy detection system can analyze each band detection objectively and accurately. At the same time, it also gives a clear and intuitive display of the jitter property while using it in different cloud backgrounds, proving that the detection effect of the narrow band is superior to the wide band and consistent with the theoretical study.

Fast analysis of wide-band scattering from radar targets using the GGO method

CHEN Wenfeng;GONG Shuxi;DONG Hailin;ZHANG Pengfei;ZHAO Bo

J4. 2016, 43(1):  60-65.  doi:10.3969/j.issn.1001-2400.2016.01.011

Abstract ( 414 )   PDF (1253KB) ( 312 )   Save

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The dimensions reducing technique combined with the Maehly approximation is applied to the Method of Moment (MoM) for analysis of the two-dimensional radar cross section (RCS) of the target. The Gauss-Green-Ostrogradsky (GGO) algorithm is utilized to transform the two-dimensional expression for the surface currents in both spatial and frequency domains to one dimension and its derivatives. This procedure avoids the solution of expansion coefficients in the two-dimensional expression and makes the accuracy adjustable by the order of derivatives. Compared with the two-dimensional Maehly approximation method, the proposed scheme can acquire RCS data efficiently with good accuracy and reduce procedural complexity. Finally, numerical results show that memory requirement and calculation time are about 1/6 and 1/3 of what are needed in the original method.

BER performance analysis of the atmospheric laser communication system on the slant path in weak turbulence

JI Yao;YUE Peng;YAN Ruiqing;JU Maoguang

J4. 2016, 43(1):  66-70.  doi:10.3969/j.issn.1001-2400.2016.01.012

Abstract ( 435 )   PDF (533KB) ( 334 )   Save

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Based on the three-layer altitude spectrum, this paper analytically investigates the bit error rate (BER) performance of the slanted laser communication system under the weak turbulence condition. The expressions for BER using on-off keying (OOK) and pulse position modulation (PPM) are derived. An analysis of impacts of the zenith angle, wavelength, power-law index and modulations on BER is made. Theoretical results show that the descriptions of turbulence given by the three-layer altitude spectrum is consistent with the actual situation. With the wavelength decreasing and zenith angle increasing, BER increases. Furthermore, PPM requires less average transmitted power than OOK, which may achieve the aim of saving cost without increasing the error rate in system design.

Sum capacity of Gaussian X channels with noisy interference

LI Jing;GE Jianhua

J4. 2016, 43(1):  71-74+150.  doi:10.3969/j.issn.1001-2400.2016.01.013

Abstract ( 383 )   PDF (405KB) ( 315 )   Save

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If the sum capacity of a channel can be achieved by treating interference as noise, we say that this channel is under noisy interference. By analyzing the sum capacity of Gaussian X channels, sufficient conditions for such channels under noisy interference are proposed. Providing vector genies and auxiliary sets as side information to the receivers, a sum-rate upper bound is obtained. Under the noisy interference sufficient conditions, this sum-rate upper bound can be achieved by operating the original channel as the underlying Gaussian interference channel and treating interference as noise. Therefore, the sum capacity of the Gaussian X channel is determined for noisy interference.

Automatic theorem proving technique for MSVL

MA Qian;DUAN Zhenhua

J4. 2016, 43(1):  75-81.  doi:10.3969/j.issn.1001-2400.2016.01.014

Abstract ( 421 )   PDF (1251KB) ( 324 )   Save

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The MSVL is a temporal logic programming language. It can be used to verify C, Verilog/VHDL programs. To do so, a program written in C or Verilog/VHDL is translated to an MSVL program, and then the task is changed to verify MSVL programs. However, at present, the correctness of MSVL programs can only be proved by hand with deductive approaches. This is tedious and error-prone. To handle this problem, an automatic theorem proving technique for the MSVL based on the interactive theorem prover PVS is proposed. To this end, first the syntax and semantics of the MSVL are described in the specification language of PVS, which enables MSVL programs to be correctly recognized by PVS. Further, an axiomatic system of the MSVL and some theorems are specified. Then the proof commands of PVS are input for invoking the PVS prover to deduce MSVL programs. During verification, simple details can be proved by PVS automatically while complex steps are controlled by human. In this way, MSVL programs can be verified semi-automatically, which facilitates the deduction of MSVL programs. An instance of the bakery algorithm is given to show that our method is feasible.

Improvement on the microwave dynamic rain attenuation time series model

YANG Ruike;LU Tongya;ZHAO Zhenwei;LU Changsheng

J4. 2016, 43(1):  82-86.  doi:10.3969/j.issn.1001-2400.2016.01.015

Abstract ( 406 )   PDF (800KB) ( 353 )   Save

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In ordor to investigate the dynamic rain attenuation forecast in countermeasure rain fade techniques on the microwave link, in typical temperate and subtropical rain areas in China, the power spectra for the rain attenuation time series simulated by the EMB (Enhanced Maseng and Bakken) model are in agreement with the measured results at 12.5GHz, but there are differences between the fade slopes statistics based on simulated series and measured data. The rain attenuation time series by the EMB model are improved by using a circular inserting data method. By the improved method, the statistical probabilities of the fade slopes are very close approximation to the measured results. The probabilities of the fade duration based on the simulated time series by the improved processes are compared with the results by unimproved processes, the results based on the measured data and by the ITU-R predicted results. It is shown that the statistical results for the fade slopes are improved, and that the differences between the fade duration probabilities by the improved series and measured data are smaller than that between the results by unimproved and measured. The results show that the improved process to the EMB model is feasible in typical rain areas in China.

Approach with a hybrid force-position property to assessing the stability for camera robots

LIU Peng;QIU Yuanying

J4. 2016, 43(1):  87-93.  doi:10.3969/j.issn.1001-2400.2016.01.016

Abstract ( 418 )   PDF (1512KB) ( 354 )   Save

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Firstly, in order to assess the stability of the camera robots, a stability performance index with combination of force and position is proposed based on the determinations of the cable tensions for a camera robot. Furthermore, the stability performance index is described using the weighted average method, and meanwhile，the stability workspace is designed with the stability performance index. Secondly, a robust workspace with the external wrench is selected to compare with the stable workspace above for the camera robots. Finally, simulation results show that it is suitable to employ the stable performance to evaluate the stability of the camera robots.

Linear embedding Hashing method in preserving similarity

WANG Xiumei;DING Lijie;GAO Xinbo

J4. 2016, 43(1):  94-98.  doi:10.3969/j.issn.1001-2400.2016.01.017

Abstract ( 398 )   PDF (555KB) ( 535 )   Save

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In order to implement quick and effective search, save the storage space and improve the poor performance of affinity relationshaps between high dimensional data and its codes in image retrieval, a new linear embedding hashing is proposed by introducing the preserving similarity. First, the whole data set is clustered into several classes, and then the similarity predicted function is used to maintain affinity relationships between high dimensional data and its codes so as to establish the objective function. By minimizing the margin loss function, the optimal embedded matrix can be obtained. Compared with the existing classic hashing algorithm, experimental results show that the performance of the linear embedding hash algorithm is superior to the other binary encoding strategy on precision and recall.

Focusing of random scattering light by global optimization amplitude modulation

GONG Changmei;SHAO Xiaopeng;WU Tengfei;DAI Weijia;LIU Jietao;ZHANG Jianqi

J4. 2016, 43(1):  99-104.  doi:10.3969/j.issn.1001-2400.2016.01.018

Abstract ( 503 )   PDF (1425KB) ( 387 )   Save

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When focusing beyond diffraction-limit through the scattering medium with amplitude modulation by the feedback control algorithm, the grid-by-grid modulation scheme of the continuous sequential algorithm will severely degrade anti-noise performance, which is detrimental to focusing of light under low signal-to-noise ratio environment. To overcome the drawback of the continuous sequential algorithm, the genetic algorithm is introduced to shape the wavefront amplitude of incident light. With the help of its characteristic global optimization strategy, the amplitude of all the grids can be simultaneously modulated and optimized so as to reduce the sensitivity to noise. Simulation results show that the target focus intensity of the genetic algorithm can be hardly affected by noise level, and that the resultant focusing intensity acquired at different noise levels are very close. The focusing intensity value up to 80.67％ that of SNR is ∞ can be achieved even if the noise level rises to SNR is 10dB.

Wireless sensor network powered by a terrestrial microbial fuel cell

ZHANG Daxing;GUO Yongxian;CHENG Peitao;GAO Hongwei

J4. 2016, 43(1):  105-109.  doi:10.3969/j.issn.1001-2400.2016.01.019

Abstract ( 425 )   PDF (1262KB) ( 367 )   Save

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Aquatic Microbial Fuel Cell(AMFC) must be inoculated and work in water environment. Terrestrial Microbial Fuel Cell(TMFC) can overcome the shortcoming. In order to realize the practical application of TMFC, a single-hop Wireless Sensor Network(WSN) powered by a TMFC experimental setup is designed and established. Power generation performance of the TMFC and sensor data acquisition, wireless transmission and processing of the WSN are tested by experiments. Experimental results show that the proposed TMFC can drive the single-hop WSN periodically, which validates the feasibility of TMFC powered WSN.

Deployment impact analysis of the offset-fed truss reflector

HUANG Zhirong;SONG Yanping;ZHENG Shikun;ZHU Jialong;WANG Xiaokai

J4. 2016, 43(1):  110-115.  doi:10.3969/j.issn.1001-2400.2016.01.020

Abstract ( 508 )   PDF (3542KB) ( 305 )   Save

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As the off-fed truss reflector is connected to the platform by a single edge and deployed rapidly through being driven by the spring, the impact influence acts obviously on both the reflector and the platform. Due to limitations of the ground test, the in-orbit deployment impact characteristics of truss reflector are difficult to obtain. Then, by taking a certain reflector as the research object, a dynamic model is established with multibody dynamic software. Based on the modified model with ground deployable tests, in-orbit deployment impact characteristics are obtained by simulation analysis. Therefore, the method for multibody dynamic modeling is suitable for truss reflector dynamic research, and the result is useful for the deployable reliability optimization.

Factorization reconstruction method for the 3D deformable structure

PENG Yali;LIU Shigang;LIANG Xingang;LIAO Fuxuan

J4. 2016, 43(1):  116-119.  doi:10.3969/j.issn.1001-2400.2016.01.021

Abstract ( 410 )   PDF (751KB) ( 350 )   Save

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To recover the 3D deformable structure from an un-calibration image sequence, a factorization reconstruction method for 3D deformable reconstruction is presented. Based on the low rank constraint on the image matrix, the projective reconstruction can be obtained by single value decomposition. By using the orthogonality of the projective matrix, the Euclidean reconstruction is upgraded from projective reconstruction. The innovation of the method is that the solving of the 3D non-rigid reconstruction is linear and that all the images and the image points are treated uniformly. The experiments with both simulated and real data show that the method presented in the paper is efficient.

Highly efficient rate adaptation algorithm for IEEE 802.11ac

PANG Zhipeng;WU Bin;YE Tianchun

J4. 2016, 43(1):  120-126.  doi:10.3969/j.issn.1001-2400.2016.01.022

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Rate adaptation, which is one indispensable mechanism for the multi-rate wireless local area network (WLAN), is critical to the system performance. In this paper, we propose a highly efficient rate adaptation algorithm for IEEE 802.11ac based on the receiver's information feedback without modifying the MAC frame format. The basic idea is that the RTS frame is used to estimate the channel condition accurately, and then the CTS frame is sent back with the information of the chosen rate in a scrambling sequence. Moreover, according to the probability of the error received, the threshold of rate selection can be adaptively adjusted, thus further enhancing the stability of system performance. Simulation and verification by NS-3 show that the throughput performance of this algorithm outperforms that of three well-known rate adaptation solutions (AARF, ONOE, and Minstrel) in different channel environments.

Cross-track motion analysis and compensation of millimeter wave small squint SAR

XING Tao;LI Jun;HU Qingrong;XING Mengdao

J4. 2016, 43(1):  127-132.  doi:10.3969/j.issn.1001-2400.2016.01.023

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In millimeter wave high resolution SAR imaging, the existing squint SAR cross-track motion compensation algorithm brings into a phase error of more than π/4 during the imaging process. The phase error would worsen the compensation effect. This paper transforms the squint slant range with the motion error into the side-looking slant range. We adopt the side-looking cross-track motion compensation algorithm to cross-track motion compensation. The proposed algorithm works well on the millimeter wave real data in the 10° squint angle and the results are better than those obtained by existing algorithms in the same squint angle.

Fair traffic scheduling algorithm for the roadside unit

YAN Zhongjiang;LI Bo;GAO Tian;ZUO Xiaoya

J4. 2016, 43(1):  133-138.  doi:10.3969/j.issn.1001-2400.2016.01.024

Abstract ( 410 )   PDF (545KB) ( 288 )   Save

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To improve the fairness performance of the downlink traffic scheduling algorithm, a network flow based downlink traffic scheduling algorithm is proposed for the roadside unit (RSU) in vehicular networks. In the proposed algorithm, a bipartite graph is constructed firstly, where the node set is composed by the vehicle set and the timeslot set. At any given timeslot if a vehicle can communicate with the RSU, then an edge between the given timeslot and that vehicle is added into the edge set. Next, a flow network graph is constructed based on the bipartite graph by adding a virtual source node and a virtual sink node. By applying the conventional minimum cost maximum flow algorithms, a minimum cost maximum flow can be computed, which is converted to the fair traffic scheduling strategy. Simulation results show that, when the total vehicle requirements are maximized, compared with the existing algorithms, the fairness performance of the proposed algorithm is improved by 116.4％ in the offline case, and by 25.9％ in the online case.

Design of the magnitude ternary comparator of CNFET

TANG Weitong;WANG Pengjun;WANG Qian

J4. 2016, 43(1):  139-143+156.  doi:10.3969/j.issn.1001-2400.2016.01.025

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As the ternary comparator faces problems of slow speed and high power consumption, this paper proposes a scheme for the magnitude ternary comparator of CNFET, which is researching on theory of multi-valued logic circuit and the structure of comparator circuit. First, the ternary decode signal is propagated to the comparator, then the encoder circuit encodes the results of comparison, and finally the magnitude ternary comparator is made up of all kinds of modules. The magnitude comparator is simulated by software, which demonstrates that it has a correct logic function, fast speed and low power consumption characteristics.

Active defense strategy selection based on the static Bayesian game

WANG Jindong;YU Dingkun;ZHANG Hengwei;WANG Na

J4. 2016, 43(1):  144-150.  doi:10.3969/j.issn.1001-2400.2016.01.026

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Nowadays, the optimal defense strategies selection based on the incomplete information game model has many disadvantages, such as ignoring the type of the defender, using the simple cost quantitative method, and choosing defense strategies improperly. To solve the problem, this paper proposes an active defense strategy selection based on the static Bayesian game theory, and constructs the static Bayesian game model. The model considers the types of the attacker and the defender, and improves the classical strategies taxonomy and cost quantitative method by considering the strike back act of the defender and the success attack rate. Then, this paper calculates and comprehensively analyzes the Bayesian equilibrium of the game. Taking mixed strategies Bayesian equilibrium of the attacker as the defender's prediction of the attacker's action, this paper calculates the defense effectiveness of defense strategies and performs a defense strategies selection algorithm. Finally, an example is provided to analyze and demonstrate the effectiveness of the model and algorithm.

Rational function for image interpolation based on human contrast sensitivity

LIU Yifang;ZHANG Yunfeng;GUO Qiang;ZHANG Caiming

J4. 2016, 43(1):  151-156.  doi:10.3969/j.issn.1001-2400.2016.01.027

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A new image interpolation algorithm based on the rational function model with both smoothing and surface constraints is proposed. The rational function has a simple and explicit expression with two parameters. The image edge regions can be detected adaptively by using contour analysis. Basically, the detective threshold is selected based on the rational function construction. Selecting different parameters in the rational function model, the edge regions and smooth regions are interpolated by bicubic interpolation and rational interpolation, respectively. The optimal rational interpolation parameters can be obtained with a set of exact solutions by solving a maximization problem based on the contrast sensitivity enhancement of human eyes. Experimental results demonstrate that the proposed method achieves competitive performance with the state-of-the-art interpolation algorithms, especially in image details features.

Study of sensor interoperability of features on lung CT images

LI Haixia;ZHANG Qing;WANG Qing;YIN Yilong;HAO Fanchang

J4. 2016, 43(1):  157-161+179.  doi:10.3969/j.issn.1001-2400.2016.01.028

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Selecting features with high sensor interoperability is of great importance but it is not been investigated enough. Based on the application of classifying lung diseases on CT (Computed Tomography) images, the sensor interoperability of 4 features is studied. An evaluation criterion is proposed to select features by considering interoperability and discrimination ability of features. After doing experiments on 3 different datasets, it is shown that sensor interoperability affects the disease recognition or information retrieval methods. Moreover, the rationality and effectiveness of the proposed feature evaluation criterion is verified.

Optimum design of the MDAC circuit for the 8bit 80MS/s pipelined A/D converter

DONG Siwan;ZHU Zhangming;LIU Minjie;YANG Yintang

J4. 2016, 43(1):  162-166+172.  doi:10.3969/j.issn.1001-2400.2016.01.029

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A high speed and medium accuracy multiplying digital-to-analog converter (MDAC) circuit optimization design is presented for meeting the requirements of the 8bit, 80MS/s pipelined analog-to-digital (A/D) converter. An optimized transmission gate is adopted to improve the linearity of the MDAC circuit. In view of the high gain two-stage operational amplifier, design method in wideband operational amplifier design optimization is proposed and the settling time and power consumption of operational amplifier can be effectively decreased In addition, an improved high speed dynamic comparator is used in this design Fabricated in a 1.8V 0.18μm CMOS process, this A/D converter with the proposed MDAC circuit achieves a signal to noise and distortion ratio (SNDR) of 54.6dB and an effective number of bits (ENOB) of 7.83bit with a 35MHz input signal at the 80MHz sample rate.

Modified instrumental variable method for bearings-only target tracking

YU Jing;WEN Jun;LI Caicai;LI Ya'an

J4. 2016, 43(1):  167-172.  doi:10.3969/j.issn.1001-2400.2016.01.030

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To overcome the biased estimation of the pseudo-linear algorithm in bearings-only target tracking, a modified instrumental variable algorithm is proposed. In the new algorithm, the current bearings-only estimation angle is acquired by polyfitting several previous bearings angles. Then the estimated angle is used as the instrumental variable to get the motion parameters by applying the least-square method. The algorithm can achieve the theoretical unbiased estimation. Simulation results illustrate that the new modified instrumental variable algorithm has a better convergence rate and estimation accuracy than the existing research and that it is more suitable for engineering practice.

Airspace and searching strategy of radar under the information guiding condition

TANG Shujuan;XU Yunshan;BI Duyan;YANG Tao

J4. 2016, 43(1):  173-179.  doi:10.3969/j.issn.1001-2400.2016.01.031

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Aimed to improve the time-validity and accuracy of radar under the information guiding, the cueing and handoff model is proposed and the division method of the searching airspace is analyzed according to the elements of confidence coefficient, timeliness and false handoff probability. Based on dynamic detection theory, the dynamic beam position arrangement is proposed by predicting the global information gain. Simulation results show that the proposed method can capture the target quickly and accurately on condition of a large guiding error and improve the cooperative detection capability of passive sensor guiding of radar.

Research on the single fuzzy cognitive unit event PMJ model

FENG Kang

J4. 2016, 43(1):  180-188.  doi:10.3969/j.issn.1001-2400.2016.01.032

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Aiming at the flaw of the PMJ cognitive computation model and discovering the law of cognition, the single fuzzy cognitive unit event PMJ cognitive computation model is proposed. The correlation selection device is added in perception representation, the long-term memory bank and short-term memory bank are designed in memory representation, the uncompleted work is mapped as the goal in judgment representation, the input data of perception representation is the single fuzzy cognitive unit event, the single fuzzy cognitive unit event PMJ cognitive computation model fulfills the cognitive mechanisms such as selected attention, long-term memory,short-term memory,recalling and forgetting. The schema memory experimental results demonstrate that the rise in long-term memory bank capacity enlarges the completion rate of the task when forgetting occurs, the variation in long-term memory bank capacity does not enlarge the completion rate of the task when no forgetting does not occur, and the variation in short-term memory bank length does not change the completion rate of the task whether forgetting occurs or not. So the single fuzzy cognitive unit event PMJ cognitive computation model corrects the flaw of PMJ cognitive computation model and discovers the cognitive law that the long-term memory bank capacity and short-term memory bank length influence the completion rate of the task, so that it is an optimal cognitive computation model.