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2015-06-23
Off -Grid Direction-of-Arrival Estimation Using a Sparse Array Covariance Matrix
By
Xiaoyu Luo,

    Dr. Xiaoyu Luo

    Department of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Xiao Chao Fei,

    Dr. Xiao Chao Fei

    Department of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Lu Gan,

    Dr. Lu Gan

    Department of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Ping Wei

    Dr. Ping Wei

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 54, 15-20, 2015
doi:10.2528/PIERL15030306 | Google Scholar

Abstract
An off-grid direction-of-arrival (DOA) estimation method that utilizes a sparse array covariance matrix is proposed. In this method, the array covariance matrix is sparsely represented in the form of a vector and then modified to become an off-grid DOA estimation model according to the first-order Taylor series. By solving for the two sparse vectors in the resulting array covariance matrix, the off-grid DOA estimation can thus be achieved. We present an alternating iterative algorithm that exploits the alternating update of a convex optimization problem and a least-squares problem to solve for these two sparse vectors. Our method also extends the aperture. The effectiveness and efficiency of the proposed method are demonstrated in the simulation results.
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Citation
Xiaoyu Luo, Xiao Chao Fei, Lu Gan, and Ping Wei, "Off -Grid Direction-of-Arrival Estimation Using a Sparse Array Covariance Matrix," Progress In Electromagnetics Research Letters, Vol. 54, 15-20, 2015.
doi:10.2528/PIERL15030306
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