能时频域信息融合的信源被动定位

doi:10.19665/j.issn1001-2400.2021.06.013

摘要/Abstract

摘要：

随着无线通信环境的日益复杂,仅靠单一域(如能域、时域、频域、空域等)信息的定位技术已难以满足高精度信源定位的需求。针对非视距环境下信源定位性能恶化问题,提出能时频三域信息融合的信源被动定位技术,采用非视距误差反馈迭代修正的方法实现信源目标的高精度定位。在合理构建复杂环境下的信源定位场景中,深入分析能时频三域定位参数模型,将各域非视距误差视作待估计参数并融合多域信息构建联合定位方程,基于对三域联合最大似然方程的分析,在求解过程中采用非视距误差统计量替换,完成对的方程的合理简化。在求解过程中引入距离平方与加权最小二乘法将非凸问题进一步转化为广义信赖域子问题。在无需非视距参数先验信息的情况下,通过二分法即可同时得到信源位置和速度参数以及非视距误差的初始估计。为保证复杂环境下定位精度,运用迭代法将非视距偏差作为反馈以提高信源位置参数估计精度。通过计算机仿真验证了该算法的有效性和可靠性。

关键词: 非视距, 多域信息融合, 到达时间差, 广义信赖域子问题

Abstract:

With the increasing complexity of wireless communication environment,it is difficult to meet the requirement of the high-precision source positioning based on single domain information (such as energy domain,time domain,frequency domain,airspace domain,etc.).In order to solve the problem of the deterioration of source localization performance in the non-line-of-sight environment,this paper proposes a passive source location technology with energy-time-frequency domain information fusion,and utilizes the iterative method of non-line-of-sight error feedback to obtain the high precision location of the source target.Source localization in a reasonable complex environmental scenario is conducted and a thorough analysis of the three-domain localization parameter model is made.The non line-of-sight error in each domain is taken as unknown to construct the multiple domain information joint localization equation.Based on the analysis of the three-domain joint maximum likelihood equation used in the process of solving the non-line-of-sight error statistic replacement,the reasonable simplified equation is completed.The distance square and weighted least squares are introduced to transform the non-convex problem into a generalized trust region subproblem.Without the prior information on the non-line-of-sight parameters,the initial estimation of the source position and velocity parameters as well as the non-line-of-sight error can be obtained simultaneously by the dichotomy method.In order to ensure the location accuracy in a complex environment,the iterative method is used to improve the estimation accuracy of the source location parameters by taking the non-line-of-view deviation as feedback.The effectiveness and reliability of the proposed algorithm are verified by computer simulation.

Key words: non-line-of-sight, information fusion, time difference of arrival, generalized trust domain sub-problem

中图分类号:

TN911.23

万鹏武,姚媛媛,闫千里,陈煜飞. 能时频域信息融合的信源被动定位[J]. 西安电子科技大学学报, 2021, 48(6): 105-114.

WAN Pengwu,YAO Yuanyuan,YAN Qianli,CHEN Yufei. Passive localization based on energy-time-frequency information fusion[J]. Journal of Xidian University, 2021, 48(6): 105-114.

图/表 5

参考文献 20

[1]	ZHAO Y, LI Z, HAO B J, et al. How to Select The Best Sensors for TDOA and TDOA/AOA Localization[J]. China Communications, 2019, 16(2):134-145.
[2]	NOROOZI A, SEBT M A. Algebraic Solution for Three-Dimensional TDOA/AOA Localization in Multiple Input Multiple Output Passive Radar[J]. IET Radar,Sonar & Navigation, 2018, 12(1):21-29. doi: 10.1049/rsn2.v12.1
[3]	朱建丰, 何新生, 郝本建. 基于双星TDOA和主星DOA的空中动目标联合定位技术[J]. 电子学报, 2018, 46(6):1378-1383. doi: 10.3969/j.issn.0372-2112.2018.06.015
	ZHU Jianfeng, HE Xinsheng, HAO Benjian. A Hybrid Localization Technology for An Aerial Moving Target Based on TDOA of Dual-Satellite and DOA of Main Satellite[J]. Acta Electronica Sinica, 2018, 46(6):1378-1383. doi: 10.3969/j.issn.0372-2112.2018.06.015
[4]	SU Z Q, SHAO G F, LIU H P. Semidefinite Programming for NLOS Error Mitigation in TDOA Localization[J]. IEEE Communications Letters, 2018, 22(7):1430-1433. doi: 10.1109/LCOMM.2017.2787739
[5]	WANG G, SO A M C, LI Y M. Robust Convex Approximation Methods for TDOA-Based Localization Under NLOS Conditions[J]. IEEE Transactions on Signal Processing, 2016, 64(13):3281-3296. doi: 10.1109/TSP.2016.2539139
[6]	XIE Y Q, WANG Y, ZHU P C, et al. Grid-Search-Based Hybrid TOA/AOA Location Techniques for NLOS Environments[J]. IEEE Communications Letters, 2009, 13(4):254-256. doi: 10.1109/LCOMM.2009.082218
[7]	GAZZAH L, NAJJAR L, BESBES H. Improved Selective Hybrid RSS/AOA Weighting Schemes for NLOS Localization[C]// IEEE International Conference on Multimedia Computing and Systems.Piscataway:IEEE, 2014:746-751.
[8]	QING G, WEI K, WANCHUN T. Wireless Positioning Method Based on Dynamic Objective Function Under Mixed LOS/NLOS Conditions[C]// Ubiquitous Positioning,Indoor Navigation and Location-Based Services.Piscataway:IEEE, 2018:1-4.
[9]	GIMÉNEZ F P, PAGÈS ZA, Pereira S S, et al. Distributed AOA-Based Source Positioning in NLOS with Sensor Networks[C]// IEEE International Conference on Acoustics,Speech and Signal Processing.Piscataway:IEEE, 2015:3197-3201.
[10]	YU H G, HUANG G M, GAO J, et al. An Efficient Constrained Weighted Least Squares Algorithm for Moving Source Location Using TDOA and FDOA Measurements[J]. IEEE Transactions on Wireless Communications, 2012, 11(1):44-47. doi: 10.1109/TWC.7693
[11]	HO K C, XU W W. An Accurate Algebraic Solution for Moving Source Location Using TDOA and FDOA Measurements[J]. IEEE Transactions on Signal Processing, 2004, 52(9):2453-2463. doi: 10.1109/TSP.2004.831921
[12]	WANG G, CAI S, LI Y M, et al. A Bias-Reduced Nonlinear WLS Method for TDOA/FDOA-Based Source Localization[J]. IEEE Transactions on Vehicular Technology, 2016, 65(10):8603-8615. doi: 10.1109/TVT.2015.2508501
[13]	闫千里, 万鹏武, 卢光跃, 等. 非视距环境下RSS和TDOA联合的信源被动定位[J]. 西安电子科技大学学报, 2019, 46(3):180-188.
	YAN Qianli, WAN Pengwu, LU Guangyue, et al. Passive Localization of Signal Source Based on RSS and TDOA Combination in Non-Line of Sight Environment[J]. Journal of Xidian University, 2019, 46(3):180-188.
[14]	WANG Y, HO K C. Unified Near-Field and Far-Field Localization for AOA and Hybrid AOA-TDOAPositionings[J]. IEEE Transactions on Wireless Communications, 2018, 17(2):1242-1254. doi: 10.1109/TWC.2017.2777457
[15]	邓兵, 孙正波, 杨乐. 一种简单有效的TDOA-FDOA-AOA目标定位闭式解[J]. 西安电子科技大学学报, 2018, 45(2):171-175.
	DENG Bing, SUN Zhengbo, YANG Le. Efficient Closed-Form Estimator for TDOA-FDOA-AOA Localization[J]. Journal of Xidian University, 2018, 45(2):171-175.
[16]	YANG Z B, WANG L, CHEN P Q, et al. Passive Satellite Localization using TDOA/FDOA/AOA Measurements[C]// IEEE Conference Anthology,Piscataway :IEEE, 2013:1-5.
[17]	GUVENC I, CHONG C C. A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques[J]. IEEE Communications Surveys & Tutorials, 2009, 11(3):107-124.
[18]	MACII D, COLOMBO A, PIVATO P, et al. A Data Fusion Technique for Wireless Ranging Performance Improvement[J]. IEEE Transactions on Instrumentation and Measurement, 2013, 62(1):27-37. doi: 10.1109/TIM.2012.2209918
[19]	JORGE J M. Generalizations of the Trust Region Problem[J]. Optimization Methods & Software, 1993, 2(3) :189-209.
[20]	TOMIC S, BEKO M, DINIS R. RSS-Based Localization in Wireless Sensor Networks Using Convex Relaxation:Non-Cooperative and Cooperative Schemes[J]. IEEE Transactions on Vehicle Technology, 2015, 64(5) :2037-2050. doi: 10.1109/TVT.2014.2334397