摘要
在传统压缩感知DOA估计模型基础上,提出一种基于奇异值分解的多测量矢量正交匹配追踪(SVD-MOMP)算法,利用随机稀布阵使得测量矩阵具有良好的限制等距(RIP)特性,提高了阵列的空间分辨率,同其它基于压缩感知的估计算法相比,可显著降低对运算量的要求,同传统DOA估计算法相比,所需快拍数更少,空间分辨率更高,且能对任意相关性信号进行估计。
出处
《电信技术研究》
2012年第6期7-13,共7页
Research on telecommunication technology
同被引文献15
-
1DONOHO D L. Compressed sensing[ J]. IEEE Transactions on Information Theory, 2006, 52(4) : 1289-1306.
-
2CANDIES E J, ROMBERG J, TAO T. Robust uncertainty principles: exact signal reconstruction from highly incom- plete frequency information[ J]. IEEE Transactions on Infor- marion Theory, 2006, 52(2) : 489-509.
-
3CANDI E J, TAO T. Near-optimal signal recovery from random projections: universal encoding strategies[J]. Transactions on Information Theory, 2/306, 52(12) : 5406-5425.
-
4CETIN M, MALIOUTOV D M, WILLSKY A S. A variation- al technique for source localization based on sparse signal re- construction perspective [ C ]//Proceedings of IEEE Interna- tional Conference on Acoustics, Speech, and Signal Process- ing. [ S. 1. ] : IEEE Press, 2002.
-
5MALIOUTOV D M, CETIN M, WILLSKY A S. A sparse signal reconstruction perspective for source local ization with sensor arrays [ J ]. IEEE Transactions on Signal Processing, 2005, 53 (8): 3010-3022.
-
6MODEL D, ZIBULEVSKY M. Signal reconstruction in sen- sor arrays using sparse representation [ J ]. Signal Process- ing, 2006, 86(3): 624-638.
-
7TZAGKARAKIS G, MILIORIS D, TSAKALIDES P. Multi- ple measurement bayesian compressed sensing using GSM priors for DOA estimation[ C ]//Proceedings of IEEE Inter- national Conference on Acoustics, Speech, and Signal Pro- cessing. IS. 1. ] : IEEE Press, 2010: 2610-2613.
-
8JONG M K, OK K L, JONG C Y. Compressive MUSIC: re- visiting the link between compressive sensing and array sig- nal processing[J]. IEEE Transactions on Information Theo- ry, 2012, 58(1): 278-301.
-
9HYDER M M, MAHATA K. Direction-of-arrival estimation using a mixed L2,0 norm approximation[ J]. IEEE Transac- tions on Signal Processing, 2010 (58) : 4646-4655.
-
10WANG J, HUANG Z, ZHOU Y. Direction-of-arrival esti- mation based on joint sparsity [ J]. Sensors, 2011 ( 11 ) :9098-9108.
-
1陈金立,朱艳萍,李家强.一种随机稀布MIMO雷达的旁瓣抑制方法[J].科学技术与工程,2013,21(18):5197-5202.
-
2章宇兵,张浩,廖桂生.任意分散布阵短波通信干扰机空间功率合成技术[J].西安电子科技大学学报,2006,33(1):150-155. 被引量:22
-
3王俐,龚军涛,吕东泽,鄢振麟.随机稀布阵列的二维方向图仿真[J].电子信息对抗技术,2015,30(6):53-56.
-
4陈伯孝,张守宏.大型随机稀布阵列雷达的脉冲综合方法及其性能[J].系统工程与电子技术,1998,20(11):46-49. 被引量:2
-
5闫玉芝,李有明,余明宸,付彩梅,周桂莉.一种基于子频带匹配选择的宽带压缩频谱感知方法[J].电信科学,2016,32(1):34-39.
-
6章宇兵,葛乃祥,薛海中.任意分散布阵短波通信干扰机空问功率合成技术研究[J].电光系统,2004(4):1-6.
-
7王晓庆,陶荣辉,甘露.基于贪婪算法的高分辨信号源DOA估计[J].信号处理,2012,28(5):705-710. 被引量:5
-
8雷达[J].中国无线电电子学文摘,1999(4):116-123.
-
9彭祥龙.用遗传算法优化任意稀布率的平面阵列[J].电讯技术,2007,47(3):153-158. 被引量:4