Waveform-Domain Adaptive Matched Filtering for Suppressing Interrupted-Sampling Repeater Jamming

TL;DR

This paper proposes a waveform-domain adaptive matched filtering method that effectively suppresses interrupted-sampling repeater jamming without needing prior ISRJ models, enhancing adaptability in complex interference scenarios.

Contribution

It introduces the WD-AMF model that operates in the waveform domain, enabling ISRJ suppression without relying on pre-existing interference models.

Findings

Effective suppression of ISRJ demonstrated in simulations.

Works without prior ISRJ model assumptions.

Shows robustness across diverse interference scenarios.

Abstract

The inadequate adaptability to flexible interference scenarios remains an unresolved challenge in the majority of techniques utilized for mitigating interrupted-sampling repeater jamming (ISRJ). Matched filtering system based methods is desirable to incorporate anti-ISRJ measures based on prior ISRJ modeling, either preceding or succeeding the matched filtering. Due to the partial matching nature of ISRJ, its characteristics are revealed during the process of matched filtering. Therefore, this paper introduces an extended domain called the waveform domain within the matched filtering process. On this domain, an adaptive matched filtering model, known as the waveform-domain adaptive matched filtering (WD-AMF), is established to tackle the problem of ISRJ suppression without relying on a pre-existing ISRJ model. The output of the WD-AMF encompasses an adaptive filtering term and a compensation term. The adaptive filtering term encompasses the adaptive integration outcomes in the waveform domain, which are determined by an adaptive weighted function. This function, akin to a collection of bandpass filters, decomposes the integrated function into multiple components, some of which contain interference while others do not. The compensation term adheres to an integrated guideline for discerning the presence of signal components or noise within the integrated function. The integration results are then concatenated to reconstruct a compensated matched filter signal output. Simulations are conducted to showcase the exceptional capability of the proposed method in suppressing ISRJ in diverse interference scenarios, even in the absence of a pre-existing ISRJ model.