摘要
在阵列信号精度优化算法的研究中,针对传统波达方向(Direction of Arrival,DOA)估计算法在低信噪比条件下性能表现不佳的问题,本文提出了一种采用小波分析与TLS-ESPRIT相结合的DOA估计联合算法。该算法首先对强噪声背景下阵列天线所接收的观测信号进行小波分析,选取高频小波系数置零的强制消噪方式进行降噪处理;继而将预处理后的观测矩阵用TLS-ESPRIT方法进行DOA估计。理论分析和仿真结果均表明:在相同快拍数和阵元数的情况下,较之传统的DOA估计方法,联合算法具有更低的信噪比门限,并且能实现更为准确的DOA估计。
A joint algorithm of the direction of arrival （DOA） estimation using wavelet analysis and TLS-ESPRIT is proposed, which can improve the performance of the traditional DOA estimation algorithm under the condition of low signal-to-noise ratio （SNR）. In this algorithm, the received signal corrupted by strong noise is first denoised by using the wavelet analysis. Then the DOA of the signals is estimated by using TLS-ESPRIT algorithm. The theoretical analysis and simulation results verify that this approach attains more accurate DOA estimation with lower SNR than the method of traditional DOA estimation while it is unnecessary to increase the number of snapshots and array elements.
出处
《计算机仿真》
CSCD
北大核心
2015年第5期209-212,共4页
Computer Simulation
基金
国家自然科学基金(U1231122)
国家自然科学基金(11303094)
