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Underdetermined blind DOA estimation for linear arrays without the prior knowledge of array configuration is a challenging problem. Two methods are proposed to solve this problem based on a moving… Click to show full abstract
Underdetermined blind DOA estimation for linear arrays without the prior knowledge of array configuration is a challenging problem. Two methods are proposed to solve this problem based on a moving platform. The first one exploits the structure of the equivalent array manifold matrix constructed by using several different time intervals for the array motions and utilizes iterative optimization to obtain the estimation of DOAs. By considering secondary time intervals for the array motions further, the other combines the DOA matrix and multistage Wiener filter (MSWF) to estimate DOAs in a more cost-effective way. Simulation results and complexity analysis testify the effectiveness and superiority of the proposed algorithms.
Journal Title: IEEE Signal Processing Letters
Year Published: 2022
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