Relative Entropy Based Jamming Signal Design Against Radar Target Detection

• Published in: IEEE transactions on signal processing Vol. 73; pp. 1200 - 1215
• Main Authors: Xu, Zhou, Tang, Bo, Ai, Weihua, Zhu, Jiahua
• Format: Journal Article
• Language: English
• Published: New York IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Closed form solutions; Design; Design optimization; Detectors; Electronic warfare; Entropy; Exact solutions; Figure of merit; Gaussian channels; Iterative algorithms; Jamming; Jamming performance; jamming signal optimization; majorization minimization; Noise; Object detection; Optimization; Polynomials; Radar; Radar detection; Radar jamming; Radar targets; relative entropy; Signal design; Target detection
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2025.3544305

In modern electronic warfare, active jamming is an important way to prevent the target from being detected by the radar sensors. This paper considers the problem of designing effective jamming signals with limited jamming power. By taking the relative entropy as the figure of merit, we formulate the jamming signal design as a matrix optimization problem which is Non-Polynomial (NP) hard in general. To solve the resultant problem, we conceive an iterative algorithm, named by Relative Entropy Jamming Optimization Algorithm (REJOA), based on combining the Majorization Minimization (MM) technique and the matrix factorization together. The conceived algorithm updates the optimization variable in a closed form (or semi-closed form) at each iteration, and guarantees theoretical convergence. Finally, we compare our design with the Mutual Information (MI) based design and the Signal to Jamming plus Noise Ratio (SJNR) based design through numerical experiments. Results highlight that, compared with the state-of-the-art designs, our design achieves better jamming performance with the same jamming power.