Interrupted sampling repeater jamming (ISRJ), falls within the category of intrapulse coherent interference. Leveraging undersampling principles, ISRJ generates multiple false target peaks on the range profile, thus interfering with the detection and tracking of genuine targets. To address this issue, this article presents a method called waveform-domain adaptive matched filtering for ISRJ suppression. Initially, recognizing ISRJ's partial matching characteristics, we introduce an extended domain, namely, the waveform domain, into the matched filtering process. This extension allows us to analyze the local characteristics of the interference signal and the components of the authentic target echo signal. Based on these characteristics, we define an adaptive threshold function in the waveform domain to distinguish between valid and invalid integration elements, which does not rely on prior information about ISRJ. In addition, we introduce the interacting multiple model-Kalman filtering algorithm for state estimation of waveform domain signals and establish an estimated state space related to valid integration elements to mitigate the effects of noise. Furthermore, we introduce waveform domain coherent processing methods over slow time to reduce clutter interference. Lastly, while suppressing invalid integration elements in the waveform domain signal, we retain valid integration elements and supplement the corresponding length of integration elements from the estimated state space. This integration yields a range profile devoid of false targets. Through simulations and real-world experiments, we demonstrate the remarkable capability of the proposed method in ISRJ suppression, surpassing other methods even in the absence of a pre-existing ISRJ model.
Waveform Domain Adaptive Matched Filtering for Suppressing Interrupted Sampling Repeater Jamming
IEEE Transactions on Aerospace and Electronic Systems ; 60 , 6 ; 9247-9260
01.12.2024
8230758 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch