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Moving target identification under deception jamming circumstance based on radon-Fourier transform
This paper addresses the identification problem between the moving targets and deceptive false targets in the presence of the across-range unit (ARU) effect. Specifically, a typical self-defense jammer that generates multiple range-Doppler joint deception false targets within a short period is consi...
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Published in: | Signal processing 2025-01, Vol.226, p.109652, Article 109652 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | This paper addresses the identification problem between the moving targets and deceptive false targets in the presence of the across-range unit (ARU) effect. Specifically, a typical self-defense jammer that generates multiple range-Doppler joint deception false targets within a short period is considered. Based on the radon-Fourier transform (RFT) results of two-dimensional radar echo, the disparity features between the physical and false targets in the output amplitude are first revealed. In this respect, a novel multi-stage RFT processing schema is designed to provide the amplitude characteristic for the under-determined targets. According to the constructed amplitude vector, the variance of the derived amplitude ratio vector is selected as the identification criterion for the proposed multi-stage RFT-based target identification (MSRFT-TI) algorithm. The performance of the proposed method in target identification is evaluated through numerical simulations for two different radar systems. The results indicate that the proposed MSRFT-TI algorithm is effective even in challenging scenarios with a small signal-to-noise ratio (SNR) and large jamming-to-signal ratio (JSR).
•The multi-stage RFT is explored to get amplitude features of under-determined targets.•A novel MSRFT-TI algorithm is proposed to address the identification problem.•The variance of the amplitude ratio vector is chosen as the identification criterion.•Numerical results demonstrate the robustness of the proposed MSRFT-TI algorithm. |
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ISSN: | 0165-1684 |
DOI: | 10.1016/j.sigpro.2024.109652 |