基于交替投影的MIMO雷达信号盲分离算法研究

doi:10.3969/j.issn.0372-2112.2017.09.006

电子学报 ›› 2017, Vol. 45 ›› Issue (9): 2092-2097.DOI: 10.3969/j.issn.0372-2112.2017.09.006

基于交替投影的MIMO雷达信号盲分离算法研究

唐波, 张玉, 张浩

电子工程学院504教研室, 安徽合肥 230037

收稿日期:2015-12-30 修回日期:2017-04-12 出版日期:2017-09-25
- 作者简介:
- 唐波,男,1985年8月出生于江西临川,2006年和2011年于清华大学电子工程系获工学学士和工学博士学位,现为电子工程学院讲师.研究兴趣主要包括自适应阵列信号处理、雷达波形设计等.E-mail:tangbo06@gmail.com;张玉,男,1962年10月生于安徽芜湖,1989年毕业于电子工程学院获工学硕士学位,现为电子工程学院教授,研究兴趣主要包括雷达信号处理、通信信号处理等;张浩,男,1986年7月出生于湖北仙桃,2012年毕业于清华大学自动化系获工学硕士学位,现为电子工程学院助教,主要研究方向为信号处理.
- 基金资助:
- 国家自然科学基金 (No.61671453，No.61201379）; 安徽省自然科学基金 (No.1608085MF123）

Blind Separation of MIMO Radar Signals Based on Alternating Projection

TANG Bo, ZHANG Yu, ZHANG Hao

504 Lab, Electronic Engineering Institute, Hefei, Anhui 230037, China

Received:2015-12-30 Revised:2017-04-12 Online:2017-09-25 Published:2017-09-25
- Supported by:
- National Natural Science Foundation of China (No.61671453, No.61201379); Natural Science Foundation of Anhui Province (No.1608085MF123)

摘要/Abstract

摘要： 多输入多输出（multiple-input-multiple-output，MIMO）雷达利用灵活的发射波形设计以及阵列配置，在微弱目标探测及高分辨参数估计方面有着巨大优势.为侦察识别MIMO雷达信号，建立了MIMO雷达信号侦察模型.基于最大似然估计以及交替投影算法，并利用MIMO雷达信号的恒模特性对MIMO雷达信号进行了盲分离.通过理论推导和数值仿真分析了所提算法分离MIMO雷达信号的性能.结果表明该算法在信噪比高于0dB时，其分离后的信号与原信号具有很高的相关系数，且分离指数较低，性能明显优于现有的非圆复信号Fast ICA（non-circular complex Fast ICA，NC-Fast ICA）算法.

关键词: MIMO雷达, 信号盲分离, 最大似然估计, 交替投影, 恒模特性

Abstract: Exploiting brisk transmit waveforms and elaborate array configuration,multiple-input-multiple-output (MIMO) radar system has significant advantages in weak-target detection and high-resolution parameter estimation.In this paper,a mathematical model is established for interception,reconnaissance and identification of MIMO radar signals.By using maximum likelihood estimation and alternating projection,an algorithm which makes use of the constant modulus property of the radar signals is proposed for blind separation of MIMO radar signals.Both theoretical and numerical results are provided to demonstrate the performance of the proposed algorithm.It is shown that,if the signal to noise ratio (SNR) is higher than 0dB,the proposed algorithm can achieve a satisfactory separation performance and the correlations of the separated signals with the original signals are very high.Moreover,the proposed algorithm significantly outperforms the existing non-circular complex fast independent component analysis (NC-Fast ICA) algorithm.

Key words: multiple-input-multiple-output (MIMO) radar, signal blind separation, maximum likelihood estimation, alternating projection, constant modulus property

中图分类号:

TN957.51

唐波, 张玉, 张浩. 基于交替投影的MIMO雷达信号盲分离算法研究[J]. 电子学报, 2017, 45(9): 2092-2097.

TANG Bo, ZHANG Yu, ZHANG Hao . Blind Separation of MIMO Radar Signals Based on Alternating Projection[J]. Acta Electronica Sinica, 2017, 45(9): 2092-2097.

参考文献

[1] Li Jian,Stoica P.MIMO Radar Signal Processing[M].Hoboken,NJ John Wiley & Sons,2009.
[2] Li Jian,Stoica P.MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine,2007,24(5):106-114.
[3] Haimovich A M,Blum R S,Cimini L J.MIMO radar with widely separated antennas[J].IEEE Signal Processing Magazine,2008,25(1):116-129.
[4] Tang Bo,Tang Jun,Peng Yingning.MIMO radar waveform design in colored noise based on information theory[J].IEEE Transactions on Signal Processing,2010,58(9):4684-4697.
[5] 唐波,张玉,李科,等.杂波中MIMO雷达恒模波形及接收机联合优化算法研究[J].电子学报,2014,42(9):1705-1711. Tang Bo,Zhang Yu,Li Ke,et al.Joint constant-envelope waveform and receiver design for MIMO radar in the presence of clutter[J].Acta Electronica Sinica,2014,42(9):1705-1711.(in Chinese)
[6] 梁百川.对MIMO雷达的电子侦察技术[J].舰船电子对抗,2008,31(5):17-19,27. Liang Bai-chuan.Electronic reconnaissance technology for MIMO radar[J].Shipboard Electronic Countermeasure,2008,31(5):17-19,27.(in Chinese)
[7] Wang Xiaojing,Xiong Ying,Tang Bin,et al.An approach to the modulation recognition of MIMO radar signals[J].EURASIP Journal on Wireless Communications and Networking,2013,2013(1):1-11.
[8] Wang Xiaojing,Xiong Ying,Li Yunhao,et al.Modulation recognition of MIMO radar signal based on joint HOS and SNR algorithm[J].Journal of Systems Engineering and Electronics,2014,25(2):226-236.
[9] 梁浩,崔琛,代林,等.对MIMO雷达参数的侦察估计及性能分析[J].系统工程与电子技术,2015,37(10):2272-2278. Liang Hao,Cui Chen,Dai Lin,et al.Reconnaissance and estimation performance analysis for colocated MIMO radar parameters[J].Systems Engineering and Electronics,2015,37(10):2272-2278.(in Chinese)
[10] 高昊,王剑,高艳涛,等.分布式多输入多输出雷达的侦察分析[J].清华大学学报(自然科学版),2014(10):1367-1372. Gao Hao,Wang Jian,Gao Yantao,et al.Reconnaissance analysis of MIMO radar with widely separated antennas[J].Journal of Tsinghua University (Science & Technology),2014(10):1367-1372.(in Chinese)
[11] Tang Xiaowei,Tang Jun,Tang Bo.A new electronic reconnaissance technology for MIMO radar[A].CIE International Conference on Radar[C].Chengdu:IEEE,2011.24-27.
[12] 汤小为,唐波,汤俊.集中式MIMO雷达信号盲分离算法研究[J].宇航学报,2013,34(5):679-685. Tang Xiao-wei,Tang Bo,Tang Jun.Blind source separation algorithm for colocated MIMO radar signals[J].Journal of Astronautics,2013,34(5):679-685.(in Chinese)
[13] Kay S.统计信号处理基础——估计与检测理论[M].罗鹏飞,等,译.北京:电子工业出版社,2006.129-135.
[14] 张贤达.矩阵分析与应用[M].北京:清华大学出版社,2006.34-47.
[15] Tropp J A,Dhillon I S,Heath R W,et al.Designing structured tight frames via an alternating projection method[J].IEEE Trans Inf Theory,2005,51(1):188-209.
[16] Stoica P,Selén Y.Cyclic minimizers,majorization techniques,and the expectation-maximization algorithm:a refresher[J].IEEE Signal Processing Magazine,2004,21(1):112-114.
[17] Hyvärinen A,Karhunen J,Oja E.Independent Component Analysis[M].New York:John Wiley & Sons,2004.
[18] Wright S J.Coordinate descent algorithms[J].Mathematical Programming,2015,151(1):3-34.
[19] Aharon M,Elad M,Bruckstein A.K-SVD:An algorithm for designing overcomplete dictionaries for sparse representation[J].IEEE Transactions on Signal Processing,2006,54(11):4311-4322.
[20] Wax M,Kailath T.Detection of signals by information theoretic criteria[J].IEEE Trans on ASSP,1985,33(2):387-392.

基于交替投影的MIMO雷达信号盲分离算法研究

Blind Separation of MIMO Radar Signals Based on Alternating Projection

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