Spatial-Ambiguity-Domain based DOA Estimation Algorithm Using Fractional Lower Order Statistics
基于分数低阶统计量的空域-模糊域DOA估计算法

In this paper, a DOA estimation algorithm for non-stationary signals embedded in impulsive SαS noise environments is proposed. Firstly, a Spatial Ambiguity Function based on the Fractional Lower Order Statistics (FLOS-SAF) is defined to separate signals by exploiting the ambiguity domain characteristic. Then the average of ambiguity-domain points is carefully selected to perform the subspace analysis. Finally the MUSIC algorithm is applied to obtain DOA estimates. Comparison with the spatial processing method using fractional lower order statistics, the proposed algorithm provides more precise DOA estimates by using the ambiguity domain information of signals. Computer simulation results show the effectiveness of the algorithm.