DOA Estimation of Cyclostationary Signals in the Presence of Coherent Sources

摘要：

In multipath environments,Cyclic MUSIC is failed to detect all incident sources.In order to de-correlate the coherent signals,spatial smoothing (SS) and forward/backward SS techniques have been investigated to resolve this situation,however,all these algorithms will reduce the number of detectable signals and cause the deficiency of array aperture.In this paper,two new approaches called virtual moving cyclic autocorrelation method (VM-CAC) and virtual moving cyclic crosscorrelation method (VM-CCC) are proposed for a uniform linear array (ULA).The theoretical analysis and simulation results indicate significantly better performance for the new methods in real-time implementation.

关键词： Cyclostationary signals Coherent signals Virtual moving DOA

作者: Liu Xue-liang Guo Yan Li Ning Wang Jin-long

作者单位: Institute of Science,Nanjing Jiangsu,210007,P.R.China Institute of Communication Engineering,Nanjing Jiangsu,210007,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）