Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (1): 195-199.

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Direction-of-Arrival estimation based on sparse signal reconstruction

REN Xiaoli1, WANG Ji1, WAN Qun2   

  1. 1.School of Information, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China
    2.School of Electronic Engineering, UESTC, Chengdu 611731, China
  • Online:2015-01-01 Published:2015-01-06

基于稀疏重建的信号DOA估计

任肖丽1,王  骥1,万  群2   

  1. 1.广东海洋大学 信息学院,广东 湛江 524088
    2.电子科技大学 电子工程学院,成都 611731

Abstract: This paper proposes a modified Direction of Arrival(DOA) estimation method based on Minimum Redundancy Linear Array(MRLA) from the sparse signal reconstruction perspective. According to the structure feature of MRLA that 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 can estimate more DOAs of signal source, and it is capable of estimating more DOAs with fewer antenna elements.

Key words: Direction of Arrival(DOA), sparse signal reconstruction, Minimum Redundancy Linear Array(MRLA), [?1]-Singular Value Decomposition

摘要: 从稀疏信号重建角度提出了一种改进的波达方向(DOA)估计方法。由于最小冗余线阵(MRLA)能以较少的阵元数获得较大的阵列孔径,将MRLA与[?1-SVD]方法相结合估计信号的DOA。仿真结果表明,经多次实验验证,所提方法是有效的,相比[?1-SVD]方法可以估计出更多信源的DOA,并且可以用较少的阵元数估计更多的信源DOA,具有信源过载能力。

关键词: 波达方向(DOA), 稀疏信号重建, 最小冗余线阵(MRLA), [?1-SVD]