Direction of arrival (DOA) estimation is a sparse reconstruction problem. However, conventional orthogonal matching pursuit (OMP) may fail to identify the correct atoms since the redundant dictionary composed of the direction vectors is highly coherent. To mitigate the coherence problem, in this paper, we propose a modified OMP by constructing data dependent sensing dictionary for sparse reconstruction in the noisy case. Simulation results are presented to demonstrate the superior performance of the proposed algorithm for DOA estimation.
Key words: Direction of arrival (DOA) estimation, orthogonal matching pursuit (OMP), sparse reconstruction, redundant dictionary, sensing dictionary.
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