基于小波分析与MUSIC法的联合算法对信号DOA的估计

Estimation of Signals'DOA by Wavelet Analysis and MUSIC Based Union Algorithm

文中在对传统MUSIC法的分析的基础上,引入小波多分辨分析的方法,提出了一种新的算法。该算法可以解决在低SNR环境,且阵元数目有限的情况下,对于传统的MUSIC法不能够准确分辨出DOA的问题。同时,该算法同样可以解决在SNR较高,但信号DOA相隔很近,传统的MUSIC法也不足以分辨开来的问题。加入小波多分辨去噪后,则在相同条件下可以有效将DOA分辨出来。理论分析和仿真结果表明,该算法能在不增加阵元数的情况下,有效提高信号的SNR,从而提高了阵列天线的性能。

This article, based on the analysis of traditional MUSIC algorithm, introduces the wavelet＇s multi-resolution analysis and proposes a new algorithm. This algorithm could mainly solve the problem in the limited array element number under the low SNR environment, that is, the DOA cannot be accurately distinguished by the traditional MUSIC algorithm. Simultaneously, this algorithm is also suitable for the signals＇ DOA which is spatially near and could not be separated, while in high SNR. However, when the wavelet multi-resolution is added to remove the noise, the DOA may be effectively distinguished under the same condition. The theoretical analysis and simulation indicate that the algorithm can effectively enhances the signal SNR while it is unnecessary to increase the number of array element, thus improving the performance of array antenna.