Adaptive radar jamming waveform design based on low probability of intercept

Abstract

Low probability of intercept (LPI) has currently become a central issue in modern electronic warfare. In this paper, the problem of task-dependent adaptive radar jamming waveform design based on LPI is investigated. Firstly, the achievable signal-to-interference-plus-noise ratio (SINR) and mutual information (MI) are derived to evaluate the target detection and parameter estimation performance, respectively. Then, regarding to the complexity and uncertainty of electromagnetic environment in the modern battlefield, the trapezoidal fuzzy number is utilized to describe the threshold of overall system performance based on the credibility theory, whose purpose is to minimize the total jamming power, while the achievable system performance outage probability is enforced to be greater than a specified confidence level. Finally, the fuzzy chance-constrained programming (FCCP) models are transformed to the crisp equivalent forms with the property of trapezoidal fuzzy number. Simulation results demonstrate that our proposed approaches can effectively achieve the optimal solutions and bring remarkable improvement on the LPI performance for radar jamming.