A Sparse Signal Reconstruction Perspective for Direction-of-Arrival Estimation with Minimum Redundancy Linear Array
نویسندگان
چکیده
In this paper, a new direction of arrival (DOA) estimation method based on minimum redundancy linear array (MRLA) from the sparse signal reconstruction perspective is proposed. According to the structure feature of MRLA which is obtaining larger antenna aperture through a smaller number of array sensors, MRLA is combined with 1 SVD − method to estimate signal DOAs. Simulations demonstrate that the proposed method is effective and compared with 1 SVD − method it could estimate more DOAs of signal source, and it is capable of estimating more DOAs with fewer antenna elements. Key-Words: Direction of arrival, minimum redundancy linear array, 1 -singular value decomposition, sparse signal reconstruction
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