空间非平稳噪声下圆阵的修正Capon算法
Modified Capon algorithm for uniform circular array in spatially nonstationary noise fields
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摘要: 在空间非平稳噪声环境下,利用估计的噪声相关矩阵对圆阵接收数据相关矩阵进行预处理,可以消除非平稳噪声对方位估计的影响。再利用修正Capon算法,可以突破瑞利限的限制,且不需要知道信源数,从而实现目标的高分辨方位估计。仿真结果证实了该方法的有效性。Abstract: Modified Capon algorithm for uniform circular array in spatially nonstationary noise fields is presented.The received data for DOA estimation is firstly prewhitened by using the estimation of noise covariance.This could eliminate the influence of nonstationary noise.By using modified Capon algorithm,high estimation capability can be acquired without knowing the number of sources.Computer simulation shows the validity and the accuracy of the algorithms.