Signal subspace techniques for DOA estimation using higher order statistics

Eigendecomposition based techniques such as MUSIC and its variants constitute effective methods for determining the direction of arrival (DOA) estimates of narrowband sources. A new strategy which extends the MUSIC algorithm to higher order statistics (HOS) is proposed for estimation of the DOA. Also, we present a new method for the estimation of the number of multiple narrowband incoherent and coherent non-Gaussian source signals arriving on the array which we consider as a significant contribution. The performance of the technique is compared with other suggested HOS-based methods.

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