Anti-interrupted sampling repeater jamming via linear canonical Wigner distribution lightweight LFM detection

TL;DR

This paper introduces a novel radar anti-jamming technique using generalized linear canonical Wigner distribution and improved line detection methods, significantly enhancing target detection under jamming and low SNR conditions.

Contribution

The paper proposes a new anti-jamming approach combining GLWD line detection with an improved line segment detection method, enhancing signal separation and robustness against ISRJ.

Findings

Effectively suppresses ISRJ in radar signals.

Improves target detection in low SNR environments.

Demonstrates real-time applicability and robustness.

Abstract

Interrupted sampling repeater jamming (ISRJ) poses a serious threat to radar target detection. Traditional time-frequency (TF) domain anti-jamming methods are prone to TF aliasing in multi-component signal scenarios, and cannot effectively suppress ISRJ with energy close to the real target under low signal-to-noise ratio (SNR) conditions. To address these challenges, this paper proposes an anti-jamming method based on generalized linear canonical Wigner distribution (GLWD) line detection. By setting the parameters reasonably, the TF image of GLWD can have excellent TF resolution and energy concentration, greatly improving the signal separation and SNR. Furthermore, in order to enhance the detection capability of the target LFM signal, the existing mobile line segment detection (M-LSD) is improved and the mobile long line segment detection (M-LLSD) is proposed. M-LLSD can detect the target signal more easily and reduce the sensitivity to the jamming signal, so as to efficiently and accurately extract the TF position information of the target signal. Finally, a TF filter is constructed based on the mapping between GLWD and short-time Fourier transform (STFT), performing filtering in the STFT domain to suppress jamming. Simulations and experiments show that the method can effectively suppress such difficult-to-distinguish jamming and is suitable for real-time radar anti-jamming with good robustness.