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Compressive Sensing Based Direction-of-Arrival Estimation in MIMO Radars in Presence of Strong Jamming via Blocking Matrix

Beiyi Liu,Guan Gui,S. Matsushita,Li Xu

Published 2018 in International Conference on Security and Management

ABSTRACT

The performances of the traditional anti-jamming DOA methods for the colocated MIMO radar system will be seriously deteriorated when the number of the snapshots is small. In this paper, a compressive sensing (CS)-based anti-jamming DOA estimation with only a few snapshots is proposed. In the new DOA estimation, the information on the direction of strong jamming is used to construct a blocking matrix that can block the jamming component effectively. Hence, only the desired signal component is left after preprocessing with the blocking matrix. Then, the DOA estimation problem with a blocking matrix is formulated as a sparse recovery problem, and it is solved by the orthogonal matching pursuit (OMP) algorithm. We compare the proposed method with the traditional CS-based method and the traditional anti-jamming DOA methods. Numerical results demonstrate that the proposed method outperforms the traditional methods.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    International Conference on Security and Management

  • Publication date

    2018-07-01

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.1109/SAM.2018.8448914
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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