SIGNAL-SUBSPACE PROCESSING USING HIGHER-ORDER STATISTICS

Eigendecomposition-based techniques such as MUSIC and its variants con stitute effective methods for determining the direction of arrival (DO A) estimates of narrowband sources. A new strategy which extends the M USIC algorithm to higher order statistics (HOS) is proposed for estima tion of the DOA, and the number of multiple narrowband incoherent and coherent non-Gaussian signals. The performance of the technique is com pared with other recently suggested HOS-based methods.