Alpha稳定分布噪声下数字调制识别新方法

doi:10.3969/j.issn.1001-2400.2015.06.001

Abstract

Abstract:

The traditional methods for digital modulation signals recognition with Alpha stable distribution noise have the problem of poor performance. In this paper, a novel recognition method for digital modulation signals based on the generalized cumulant and generalized instantaneous phase is proposed to solve this problem. This method extracts the characteristic parameters which are the generalized cumulant and maximum of normalization and center generalized instantaneous phase spectral density based on fractional Fourier transform. And then the minimum mean square error classifier and the threshold are used to achieve modulation recognition of digital modulation signals with Alpha stable distribution noise. Simulation results show that the proposed method has not only better performance but also lower computation complexity than the traditional recognition methods in an Alpha stable distribution noise environment.

Key words: modulation recognition, Alpha-stable distribution noise, generalized cumulant, generalized instantaneous phase, minimum mean square error

LIU Mingqian;LI Bingbing;SHI Yayun. Novel recognition method for digital modulation signals with Alpha stable noise[J].J4, 2015, 42(6): 1-5.

References

［1］ Ben C W, Dayoub I, Hamouda W, et al. Modulation Recognition for MIMO Relaying Broadcast Channels with Direct Link［J］. IEEE Wireless Communications Letters, 2014, 3(1): 50-53.
［2］李兵兵, 马洪帅, 刘明骞. Alpha 稳定分布噪声下时频重叠信号的载波频率估计方法［J］.电子与信息学报, 2014, 36(4), 868-874.
Li Bingbing, Ma Hongshuai, Liu Mingqian. Carrier Frequency Estimation Method of Time-frequency Overlapped Signals with Alpha-stable Noise［J］. Journal of Electronics ＆ Information Technology, 2014, 36(4): 868-874.
［3］ Jin Y, Ji H B. Robust Symbol Rate Estimation of PSK Signals under the Cyclostationary Framework［J］. Circuits System and Signal Processing, 2014, 33: 599-612
［4］ Wang F G, Wang X D. Fast and Robust Modulation Classification via Kolmogorov-Smirnov Test［J］. IEEE Transactions on Communications, 2010, 58(8): 2324-2332.
［5］杨伟超, 赵春晖, 成宝芝. Alpha稳定分布噪声下的通信信号识别［J］. 应用科学学报, 2010, 28(2): 111-114.
Yang Weichao, Zhao Chunhui, Cheng Baozhi. Recognition of Communication Signals in Noise with Alpha-stable Distribution［J］. Journal of Applied Science, 2010, 28(2): 111-114.
［6］赵春晖, 杨伟超, 杜宇. 采用分数低阶循环谱相干系数的调制识别［J］. 应用科学学报, 2011, 29(6): 565-570.
Zhao Chunhui, Yang Weichao, Du Yu. Modulation Recognition Using Fractional Low-order Cyclic Spectrum Coherence Coefficient［J］. Journal of Applied Science, 2011, 29(6): 565-570.
［7］刘明骞, 李兵兵, 曹超凤, 等. 认知无线电中非高斯噪声下数字调制信号识别方法［J］. 通信学报, 2014, 35(1): 82-88.
Liu Mingqian, Li Bingbing, Cao Chaofeng, et al. Recognition Method of Digital Modulation Signals over Non-gaussian Noise in Cognitive Radio［J］. Journal on Communications, 2014, 35(1): 82-88.
［8］赵春晖, 杨伟超,马爽. 基于广义二阶循环统计量的通信信号调制识别算法研究［J］. 通信学报, 2011, 32(1): 144-150.
Zhao Chunhui, Yang Weichao, Ma Shuang. Research on Communication Signal Modulation Recognition Based on the Generalized Second-order Cyclic Statistics［J］. Journal on Communication, 2011, 32(1): 144-150.
［9］刘明骞, 李兵兵, 曹超凤. 非高斯噪声下数字调制信号识别方法［J］. 电子与信息学报, 2013, 35(1): 85-91.
Liu Mingqian, Li Bingbing, Cao Chaofeng. Recognition Method of Digital Modulation Signals in Non-gauss Noise［J］. Journal of Electronics ＆ Information Technology, 2013, 35(1): 85-91.
［10］赵春晖, 杨伟超. Alpha稳定分布噪声下MPSK信号调制识别算法研究［J］. 沈阳大学学报, 2013, 25(1): 10-14.
Zhao Chunhui, Yang Weichao. Modulation Recognition Algorithm of MPSK Signals in Alpha Stable Distribution Noise［J］. Journal of Shenyang University, 2013, 25(1): 10-14.
［11］金艳, 姬红兵. 基于循环自相关的PSK信号盲参数估计新方法［J］. 西安电子科技大学学报, 2006, 33(6): 892-895.
Jin Yan, Ji Hongbing. A New Cyclic Autocorrelation Based Blind Parameter Estimation Method for PSK Signals ［J］. Journal of Xidian University, 2006, 33(6): 892-895.
［12］ Swami A, Sadler B M. Hierarchical Digital Modulation Classification Using Cumulants［J］. IEEE Transactions on Communications, 2000, 48(3): 416-429.

[1]	SHEN Zhiwei;LIU Jingmei;HAN Qingqing. Scheme for generation of a highly adaptive physical layer secret key [J]. Journal of Xidian University, 2018, 45(4): 86-91.
[2]	DANG Bo;LIAO Guisheng;LI Jun. Waveform de-correlation method in bistatic MIMO radars [J]. J4, 2014, 41(2): 32-36+78.
[3]	XUE Jiang;PENG Hua;MA Jinjin. Blind semi-definite programming sequence detection of the 4PAM/16QAM signal in the SIMO system [J]. J4, 2013, 40(4): 167-173+196.
[4]	LIU Mingqian;LI Bingbing;ZHAO Lei. Novel modulation identification scheme for subcarriers of OFDM signals in the multipath channel [J]. J4, 2011, 38(5): 20-26.
[5]	LI Chuan;LIU Wei;LI Jian-dong;ZHOU Li-hua. Optimal joint MMSE DFE transceivers for amplify-forward MIMO relay systems [J]. J4, 2010, 37(4): 619-623.
[6]	CHU Yan-jie;HU Nian-fu;CHAO Kai-jin;PENG Xiao-cheng. Modulation recognition of MQAM signals in the passband [J]. J4, 2008, 35(5): 932-937.
[7]	HAN Gang(1;2);LI Jian-dong(1);LI Chang-le(1). Study of blind detection techniques in adaptive OFDM [J]. J4, 2006, 33(4): 602-606.

Novel recognition method for digital modulation signals with Alpha stable noise

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 7

Metrics

Comments

Recommended 10