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WEI Jia, NING Chen, KONG Zicheng, et al. Fast sidelobe suppression for moving targets in random frequency and pulse interval agile radars[J]. Journal of Radars, in press. doi: 10.12000/JR26049
Citation: WEI Jia, NING Chen, KONG Zicheng, et al. Fast sidelobe suppression for moving targets in random frequency and pulse interval agile radars[J]. Journal of Radars, in press. doi: 10.12000/JR26049
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Fast Sidelobe Suppression for Moving Targets in Random Frequency and Pulse Interval Agile Radars

DOI: 10.12000/JR26049 CSTR: 32380.14.JR26049

  • School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Funds:  The National Natural Science Foundation of China (62371049), Foundation of National Key Laboratory of Space-Based Intelligent Information Processing (TJ-01-22-02, TJ-01-25-06)
More Information
  • Corresponding author: TIAN Jing, tianjing1114@hotmail.com
  • Received Date: 2026-02-13
  • Rev Recd Date: 2026-05-08
    • Available Online: 2026-05-11
    Abstract
  • Random Frequency and Pulse interval Agile (RFPA) radars can achieve high range resolution using a synthesized wide bandwidth. However, Range Cell Migration (RCM) occurs for moving targets during long coherent integration, and the inherent randomly fluctuating high sidelobes pose a significant challenge for RFPA radars. To address these issues and enhance target detection and estimation performance, a Windowed Iterative Adaptive Approach based on the Non-Uniform Keystone Transform (NUKT-WIAA) is proposed. First, a NUKT is employed to correct the RCM caused by moving targets, effectively concentrating most of the target energy. An IAA is then applied to the NUKT results within a rectangular processing window centered on each range-Doppler cell to achieve fast sidelobe suppression of RFPA signals. A strong scatterer selection strategy is implemented during iterations to enhance the computational efficiency of the covariance matrix, thereby reducing the overall computational complexity of the proposed algorithm. Simulation results reveal that NUKT-WIAA can simultaneously achieve migration correction and sidelobe suppression for moving targets across various scenarios, multiple point targets, range-spread targets, and environments with continuous strong clutter while maintaining low computational complexity and memory usage.

     

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