An Angular Parameter Estimation Method forIncoherently Distributed Sources via Generalized Shift Invariance - 2016


This paper proposes a replacement algorithm to estimate the nominal direction-of-arrival (DOA) and the angular spread of multiple incoherently distributed (ID) sources. With the general array manifold (GAM) model, the nominal DOAs are first separated from the initial array manifold. Then, a generalized shift invariance property inside the array manifold is identified, primarily based on that the nominal DOAs are obtained when the rank of a trickily formulated matrix drops. Next, the angular spreads are estimated from the central moments of the angular distribution. We tend to conjointly derive a polynomial rooting based mostly search-free methodology for nominal DOA estimation. This method can greatly scale back the computational complexity. As compared with the popular ESPRIT-ID algorithm, the proposed algorithm will achieve higher accuracy, will handle additional sources, and applies to a additional general array structure. In depth simulations are provided to demonstrate the superior performance of the proposed algorithm over the existing works.

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