A Rank-Reduced Capon Algorithm for Near-Field Sources Localization with Uniform Linear Array
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College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, 211106, China

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TN911.7

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    Abstract:

    In this paper, we propose a rank-reduced Capon algorithm for parameter estimation of near-field sources with uniform linear array. The proposed algorithm can simplify the two-dimensional (2D) peak search within the conventional 2D-Capon algorithm to one-dimensional peak search, which significantly reduces the computational complexity. In addition, the proposed algorithm can obtain automatically paired angle and range estimations of near-field sources, and the parameter estimation performance of the proposed algorithm is very close to the conventional 2D-Capon algorithm. The simulation experiments indicate the effectiveness and superiority of the proposed algorithm.

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CHEN Weiyang, XU Le, ZHANG Xiaofei. A Rank-Reduced Capon Algorithm for Near-Field Sources Localization with Uniform Linear Array[J].,2020,35(1):110-117.

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  • Received:April 26,2018
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  • Online: January 25,2020
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