Separation of coherent multi-path signals with PADEC-DEESE algorithm
Yanling Zhang · Chinese Journal of Radio Science · 2006
The PADEC algorithm, which introduces the information of reference signals, improves the performance of direction of arrivals (DOA) estimation of coherent multi-path signals. Unlike the conventional spatial smoothing techniques, the DEESE algorithm has unique decorrelation performance, in which the decomposition is applied on the eigenvectors that span the signal subspace. When the number of antenna array's elements is small and the signal-to-noise ratio is low, the DEESE algorithm exhibits excellent performance. In this paper, because of their respective excellence, we applied the decorrelation method of the DEESE algorithm to PADEC algorithm, and named the new algorithm PADEC-DEESE. The computer simulation shows that the PADEC-DEESE algorithm can estimate the direction of arrivals of coherent multi-path signals properly. Under the condition of smaller number of antenna array's elements and lower signal-to-noise, the PADEC-DEESE algorithm has better precision of DOA estimation than PADEC、DEESE and MUSIC-SS.