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Super-Resolution DoA Estimation on a Co-Prime Array via Positive 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

A super-resolution direction-of-arrival (DoA) estimation algorithm that employs a co-prime array and positive atomic norm minimization (ANM) is proposed. To exploit larger array cardinality, the co-prime array vector is constructed by arranging elements of a correlation matrix. The positive ANM is a technique that can enhance resolution when the coefficients of the atoms are the positive real numbers. A novel optimization problem is proposed to ensure the coefficients of the atoms are the positive real numbers, and the positive ANM is employed after solving the optimization problem. The simulation results show that the proposed algorithm achieves high resolution and has lower complexity than the other ANM-based super-resolution DoA estimation algorithm.

Suggested Citation

  • Hyeonjin Chung & Young Mi Park & Sunwoo Kim, 2020. "Super-Resolution DoA Estimation on a Co-Prime Array via Positive Atomic Norm Minimization," Energies, MDPI, vol. 13(14), pages 1-11, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3609-:d:383983
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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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