小波包去噪在循环平稳信号DOA估计中的应用

基于信号循环平稳特性的到达方向(DOA)估计算法在噪声成分过大或噪声本身具有循环平稳特性的情况下,性能会迅速下降,为提高算法的估计性能,提出了利用小波包去噪与广义谱相关子空间算法相结合的方法估计信号DOA,通过仿真分析证明该方法提高了估计精度,降低了估计误差,达到了与理论分析相一致的目的.

Application of Wavelet Packet Denoising to DOA Estimation of Periodical Stabilization Signal

The performance of direction of arrival（DOA） estimation algorithm based on the periodical stabilization characteristic of signal will sharply decline when the noise is too large or the noise has the characteristic of periodical stabilization.In order to improve the estimation performance of the algorithm,this paper puts forward the method combining the wavelet packet denoising with the algorithm of generalized spectrum correlation subspace to estimate the DOA of signals.It is proved that the method can improve the estimation accuracy and reduce the estimation error through the simulation analysis,and the purpose that the simulation result is consistent with the theoretical analysis is achieved.