The steered pattern averaging technique (SPAT) for direction finding in a multiple coherent signal environment

The steered pattern averaging technique (SPAT) for direction-finding in a multiple coherent signal environment is presented. The original array is first partitioned into overlapping subarrays. A transformed array is formulated by applying the weight-and-sum preprocessing scheme on each subarray. The eigenbased algorithms are applied to the transformed array data vector. It is shown that under certain conditions, an effective deconvolution of the coherent signals can be achieved. Computer simulation results are presented to illustrate the effectiveness of the SPAT technique and the improved performance over the spatial smoothing technique