摘要
针对空间相关信号源使得阵列的协方差矩阵的有效秩降低的问题,引入随机加权子阵,打破了信号的相关性,得到一种新相关信源的信号子空间的估计算法。仿真实验表明该算法可以有效地去相关,与空间平滑法相比具有更好的估计性能。
A new algorithm of signal subspace estimation for coherent signals is proposed,in which random weighted method is used to destroy coherence of coherent signals.The new algorithm can solve rand reduction of covariance matrix effectively.Computer simulations verify that the estimation performance of the algorithm is better than spatial smoothing algorithm＇s.
出处
《电子信息对抗技术》
2010年第6期39-41,80,共4页
Electronic Information Warfare Technology
关键词
相关
谱估计
随机加权
coherent signals
spectral estimation
random weighted
