Fast Orthogonal Propagator Direction-Finding Algorithm Based on Fourth-Order Cumulants
Keywords:
Direction-of-arrival (DOA), fourthorder cumulants (FOC), orthonormal propagator method (OPM), spatially-color noise, spatially-white noiseAbstract
In this paper, a low complexity approach called modified fourth-order cumulants orthonormal propagator method (MFOC-OPM) is proposed for direction-of-arrival (DOA) estimation of incident narrowband signals impinging on a uniform linear array (ULA). In the proposed algorithm, the modified fourthorder cumulants (MFOC) matrix is achieved via removing the redundant information encompassed in the primary fourth-order cumulants (FOC) matrix, and then the direction-of-arrivals (DOAs) estimation of source signals can be resolved by exploiting the orthonormal propagator method (OPM). Without any spectrum-peak searching and eigenvalue decomposition (EVD) of the MFOC matrix, the theoretical analysis coupled with simulation results show that in comparison with the MFOC-MUSIC algorithm, the resultant algorithm can reduce computational complexity significantly, as well as yield good estimation performance in both spatiallywhite noise and spatially-color noise environments.
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