Array Processing of Wide Band Signals with Computation Reduction in Coherent and Incoherent Environment
Mingyong Zhou, Liu Zhongkan, K. Yamashita
Abstract
Mingyong Zhou, Liu Zhongkan, K. Yamashita
Abstract
A high resolution iterative algorithm for estimating the direction-of-arrival (DOA) of multiple wideband sources is proposed. For equally spaced array structures, two unitary transform based approaches are proposed in the frequency domain for signal subspace processing in both coherent multipath and incoherent environments. Given prior knowledge of the initial estimate of the DOA, with proper spatial prefiltering to separate multiple groups of closely spaced sources, the proposed algorithm is shown to have a high resolution capability even in coherent multipath environments without reducing the angular resolution as compared to the use of subarrays. The performance of the algorithm is demonstrated using simulated data. >
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A high resolution iterative algorithm for estimating the direction-of-arrival (DOA) of multiple wideband sources is proposed. For equally spaced array structures, two unitary transform based approaches are proposed in the frequency domain for signal subspace processing in both coherent multipath and incoherent environments. Given prior knowledge of the initial estimate of the DOA, with proper spatial prefiltering to separate multiple groups of closely spaced sources, the proposed algorithm is shown to have a high resolution capability even in coherent multipath environments without reducing the angular resolution as compared to the use of subarrays. The performance of the algorithm is demonstrated using simulated data. >
Key concepts: Multipath propagation, Computer science, Algorithm, Wideband, Computation, Signal processing, Reduction (mathematics), Signal subspace