Compressive Sensing Approach for DOA Estimation Based on Sparse Arrays in the Presence of Mutual Coupling

  • Jian ZhangEmail author
  • Zhenzhen Duan
  • Yang Zhang
  • Jing Liang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


In the process of direction-of-arrival (DOA) estimation, the difference co-array of sparse arrays can achieve high degrees of freedom, which can be utilized to detect more signal sources than physical sensors based on spatial smoothing (SS) algorithm. In this paper, we present a method for DOA estimation using sparse signal recovery through compressive sensing (CS) approach in the presence of mutual coupling. Compared with SS algorithm, CS approach achieves a lower estimation error. Additionally, simulation results show that the estimation error of CS approach increases with the increase of mutual coupling. Also, it increases with the increase of the grid interval of the entire DOA space.


DOA estimation Sparse arrays Spatial smoothing Compressing sensing Mutual coupling 



This work was supported by the National Natural Science Foundation of China (61671138, 61731006) and was partly supported by the 111 Project No. B17008.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Jian Zhang
    • 1
    Email author
  • Zhenzhen Duan
    • 1
  • Yang Zhang
    • 1
  • Jing Liang
    • 1
  1. 1.School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

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