相关噪声环境下相干源2D-DOA估计方法

摘要

为解决相关噪声环境下相干信源的二维波达方向估计问题,克服最常用的子空间类算法,如MUSIC算法、ESPRIT算法等的不足,将四阶累积量和空间平滑方法相结合,提出了一种新的CSS算法.该算法采用两个平行的均匀线阵作为阵列传感器,通过特殊定义的四阶累积量矩阵对接收空域数据进行平滑处理,实现了相关噪声环境下对相干信源的二维波达方向的估计,并且所估计信源的二维波达方向能够自动配对,最后通过蒙特卡罗实验证明了所提CSS算法2D-DOA性能的有效性.%In order to solve 2D-DOA estimation problem for coherent sources under the correlated noise environment,a spatial smoothing four-order cumulant-based algorithm(CSS)is presented.This algo-rithm can overcome the drawbacks of the most commonly used subspace algorithms,such as MUSIC algo-rithm,ESPRIT algorithm,etc.The algorithm uses two parallel uniform linear arrays as the array sensors. By the four-order cumulant matrix means,the received spatial data is smoothed and the two dimensional DOA estimation of coherent sources is realized.The two-dimensional angle signals can be paired automati-cally.Finally,the effectiveness of the proposed 2D-DOA algorithm is proved by Monte Carlo simulation.