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Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization

Author

Listed:
  • Hyeonjin Chung

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

  • Young Mi Park

    (Electronic Warfare PMO, Agency for Defense Development, Daejeon 305-600, Korea)

  • Sunwoo Kim

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

This paper introduces a low complexity wideband direction-of-arrival (DOA) estimation algorithm on the co-prime array. To increase the number of the detectable signal sources and to prevent an unnecessary increase in complexity, the low dimensional co-prime array vector is constructed by arranging elements of the correlation matrix at every frequency bin. The atomic norm minimization (ANM)-based approach resolves the grid-mismatch, which causes an inevitable error in the compressive sensing (CS)-based DOA estimation. However, the complexity surges when the ANM is exploited to the wideband DOA estimation on the co-prime array. The surging complexity of the ANM-based wideband DOA estimation on the co-prime array is handled by solving the time-saving semidefinite programming (SDP) motivated by the ANM for multiple measurement vector (MMV) case. Simulation results show that the proposed algorithm has high accuracy and low complexity compared to compressive sensing (CS)-based wideband DOA estimation algorithms that exploit the co-prime array.

Suggested Citation

  • Hyeonjin Chung & Young Mi Park & Sunwoo Kim, 2020. "Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization," Energies, MDPI, vol. 13(12), pages 1-11, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3235-:d:374907
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    References listed on IDEAS

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    1. Jewon Eom & Hyowon Kim & Sang Hyun Lee & Sunwoo Kim, 2019. "DNN-Assisted Cooperative Localization in Vehicular Networks," Energies, MDPI, vol. 12(14), pages 1-10, July.
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    Cited by:

    1. Sangwoo Lee & Sunwoo Kim, 2022. "Guest Editorial: Special Issue on Designs and Algorithms of Localization in Vehicular Networks," Energies, MDPI, vol. 15(6), pages 1-3, March.

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