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Volume 12 Issue 6
Dec.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(6): 1138-1154
LIU Zhen, SU Xiaolong, LIU Tianpeng, et al. Matrix differencing method for mixed far-field and near-field source localization[J]. Journal of Radars, 2021, 10(3): 432–442. doi: 10.12000/JR20145
Citation: LIU Ke, LI Yueli, DAI Yongpeng, et al. Monopulse forward-looking imaging based on Doppler estimation using fast iterative interpolated beamforming algorithm[J]. Journal of Radars, 2023, 12(6): 1138–1154. doi: 10.12000/JR23145
shu

Monopulse Forward-looking Imaging Based on Doppler Estimation Using Fast Iterative Interpolated Beamforming Algorithm

DOI: 10.12000/JR23145 CSTR: 32380.14.JR23145

  • College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  The National Ministries Foundation
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  • Corresponding author: LI Yueli, liyueli4uwb@nudt.edu.cn
  • Received Date: 2023-08-29
  • Rev Recd Date: 2023-12-08
    • Available Online: 2023-12-11
  • Publish Date: 2023-12-22
    Abstract
  • Distinguishing multiple targets in the same resolution cell is an important and challenging task in the forward-looking imaging process of monopulse radar. Although Doppler processing can improve the recognition performance for multiple targets at high squint angles, the precise estimation of Doppler frequency remains challenging under conditions with unknown target numbers and energy leakage from strong point targets. To address these issues, this paper proposes a Fast Iterative Interpolated Beamforming (FIIB) algorithm with model order estimation and single snapshot processing for monopulse forward-looking imaging, which combines information theory to unbiasedly estimate the number of targets and Doppler frequencies. The simulation results show the superiority of the proposed FIIB algorithm over the Chirp-Z Transform (CZT) algorithm for estimating target numbers and Doppler frequencies within the same resolution cell in the presence of multiple point targets. In addition, the proposed FIIB algorithm can accurately estimate point targets beyond a ±5° azimuth angle in monopulse angle measurement tasks. Real-data experiments also reveal that FIIB-based monopulse forward-looking imaging has high focusing capability and imaging contrast and can effectively suppress background clutter.

     

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