Volume 49 Issue 7
Jul.  2023
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ZHOU B L,LI R F,ZENG L,et al. A sparse estimation method for radar target direction with sliding-window subarray configuration in mainlobe jamming[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(7):1623-1629 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0552
Citation: ZHOU B L,LI R F,ZENG L,et al. A sparse estimation method for radar target direction with sliding-window subarray configuration in mainlobe jamming[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(7):1623-1629 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0552

A sparse estimation method for radar target direction with sliding-window subarray configuration in mainlobe jamming

doi: 10.13700/j.bh.1001-5965.2021.0552
Funds:  National Natural Science Foundation of China (62001510)
More Information
  • Corresponding author: E-mail:zhoubilei666888@sina.com
  • Received Date: 14 Sep 2021
  • Accepted Date: 29 Oct 2021
  • Publish Date: 09 Nov 2021
  • The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the radar field. This paper considers the problem of radar target direction estimation in MLJ. Hence, we propose a sparse estimation method for radar target direction with sliding-window subarray configuration in MLJ. MLJ is suppressed in each subarray with the proposed method, and the angle atom is constructed according to the phase relationship between the sliding-window subarrays. Finally, the target direction can be estimated with the orthogonal matching pursuit (OMP) algorithm. When the target input signal-to-noise ratio is 20 dB and the angle between the target and MLJ is 1/2 3 dB beam width, the target angle estimation error is smaller than 1/10 3 dB beam width. The accuracy of the angle estimation is well kept and the MLJ can be cancelled without any prior information.

     

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