A Robust PAST Algorithm in Alpha Stable Noise Environment
Qiu Tian-shuang · Dianzi xuebao · 2009
In order to improve the performance of projection approximation subspace tracking(PAST) algorithm under impulsive noise environment,based on Alpha stable distribution as the impulsive noise model,a new cost function is proposed using the robust m-estimation method and then the robust PAST algorithm(RLM-PAST) is deducted based on the recursive least m-estimate.Because the robust m-estimation function suitable for the Alpha stable noise model is used,the proposed algorithm offers good performance against impulsive noise over the PAST algorithm in direction of arrival(DOA) estimation.The simulation results show the efficiency of the proposed algorithm.