Abstract
The issue of the low probability of intercept (LPI) radar signal sensing has received considerable attention. Furthermore, the development of military technology further increased demand for it in future electronic warfare (EW). Meanwhile, so far, a systematic understanding of how radar signal detection and recognition technology contributes to EW is still lacking. Therefore, this study aims to contribute to this growing area of research by exploring an automatic method for detecting and identifying radar signals based on visibility graphs (VG), which can extract more network and feature information in the two-dimensional space of VG. In this article, the signal to be measured is subjected to wavelet noise reduction. Secondly, auto-correlation processing is performed on the signal, we subsequently convert the signal into a VG complex network. Then the average degree and weighted operation of the network are used for signal detection and recognition, respectively. Experiments in the last part indicate that the proposed method provides excellent performance, such as the robustness to noise and the probability of classification, over several state-of-the-art algorithms.
Highlights
Low probability of intercept (LPI) [1] radar signal detection and recognition technology has been a research focus in recent years
LPI radar waveform recognition based on the detected signal will provide a presence of threat and radar working mode such that necessary measures or countermeasures against enemy radars can be taken by electronic support (ES) and electronic attack (EA) systems
This article proposes an LPI radar detection and recognition algorithm based on visibility graphs (VG) theory
Summary
Low probability of intercept (LPI) [1] radar signal detection and recognition technology has been a research focus in recent years. Signal detection is the premise of radar reconnaissance system, which is the basic content of electronic warfare (EW) and electronic intelligence (ELINT). LPI radar waveform recognition has been an important direction of EW research since 1980 [2]. LPI radar waveform recognition based on the detected signal will provide a presence of threat and radar working mode such that necessary measures or countermeasures against enemy radars can be taken by electronic support (ES) and electronic attack (EA) systems. LPI radars have very low peak power, wide spectrum, high duty cycle, and low SNR, which makes it difficult for EW receivers to detect and identify them [3]. The research on LPI radar signal detection and recognition is of great significance for future EW
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