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Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar

Author

Listed:
  • Tianqu Liu

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, China)

  • Jinping Sun

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, China)

  • Guohua Wang

    (Hertzwell Pte Ltd., Singapore 138565, Singapore)

  • Xianxun Yao

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, China)

  • Yaqiong Qiao

    (School of Electronic and Information Engineering, Beihang University, Beijing 100191, China)

Abstract

Digital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due to its capability to intercept waveforms within a short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses to combat DRFM-based jamming, where any two groups of waveform sets are also orthogonal. In this article, a group orthogonal waveform optimal design model is formulated in order to combat DRFM-based jamming by flexibly designing waveforms for MIMO radars. Aiming at balancing the intra- and intergroup orthogonal performances, the objective function is defined as the weighted sum of the intra- and intergroup orthogonal performance metrics. To solve the formulated model, in this article, a group orthogonal waveform design algorithm is proposed. Based on a primal-dual-type method and proper relaxations, the proposed algorithm transforms the original problem into a series of simple subproblems. Numerical results demonstrate that the obtained group orthogonal waveforms have the ability to flexibly suppress DRFM-based deceptive jamming, which is not achievable using p -majorization–minimization ( p -MM) and primal-dual, two of the most advanced orthogonal waveform design algorithms.

Suggested Citation

  • Tianqu Liu & Jinping Sun & Guohua Wang & Xianxun Yao & Yaqiong Qiao, 2024. "Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar," Mathematics, MDPI, vol. 12(6), pages 1-15, March.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:903-:d:1359738
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    References listed on IDEAS

    as
    1. Ahmad Kamal Hassan & Ubaid M. Al-Saggaf & Muhammad Moinuddin & Mohamed K. Alshoubaki, 2023. "Statistical Method Based Waveform Optimization in Collocated MIMO Radar Systems," Mathematics, MDPI, vol. 11(3), pages 1-14, January.
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