Volume 12 Issue 5
Oct.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(5): 986-999
SHU Yue, FU Dongning, CHEN Zhanye, et al. Super-resolution DOA estimation method for a moving target equipped with a millimeter-wave radar based on RD-ANM[J]. Journal of Radars, 2023, 12(5): 986–999. doi: 10.12000/JR23040
Citation: SHU Yue, FU Dongning, CHEN Zhanye, et al. Super-resolution DOA estimation method for a moving target equipped with a millimeter-wave radar based on RD-ANM[J]. Journal of Radars, 2023, 12(5): 986–999. doi: 10.12000/JR23040
shu

Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM

DOI: 10.12000/JR23040
  • 1.

    School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China

  • 2.

    Hwa Create Technology Cop., Ltd., Beijing 100193, China

  • 3.

    HWA-NCUT Radar RF Simulation Laboratory, Beijing 100144, China

  • 4.

    State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China

  • 5.

    Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Funds:  The National Natural Science Foundation of China (62001062, 62271142, 61901112)
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    Abstract
  • Super-resolution Direction of Arrival (DOA) estimation is a critical problem related to vehicle-borne Millimeter-wave radars that needs to be solved to realize accurate target positioning and tracking. Based on the common conditions of limited array aperture, low snapshot, low signal-to-noise ratio, and coherent sources with respect to vehicle-borne scenarios, a super-resolution DOA estimation method for a moving target with an MMW radar based on Range-Doppler Atom Norm Minimize (RD-ANM) is proposed herein. First, an array for receiving signals in the range-Doppler domain is constructed based on the radar echo of the moving target. Then, the compensation vector for the Doppler coupling phase of the moving target is designed to reduce the influence of target motion on DOA estimation. Finally, a multitarget super-resolution DOA estimation method based on the atomic norm framework is proposed herein. Compared to the existing DOA estimation algorithm, the proposed algorithm can achieve higher angular resolution and estimation accuracy owing to low signal-to-noise ratio and single snapshot processing conditions, as well as robust performance in processing coherent sources without sacrificing array aperture. The effectiveness of the proposed algorithm is proven via theoretical analyses, numerical simulations, and experiments.

     

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