Radar Waveform Strategy Based on Game Theory

Abstract

In this paper, we proposed two waveform design methods based on game theory to address the problem of radar detection performance degradation in electronic warfare. Since radar and jammer are completely hostile, their interaction is modeled as two-person zero-sum game. Signal-to-Interference-plus-Noise Ratio (SINR) criterion is used in formulating the utility functions. The existence of Nash equilibrium in games is verified by mathematical derivation. Different game waveform strategies are designed for different information levels of radar and jammer. Iterative water-filling method and two-step waterfilling method are designed to achieve Cournot equilibrium and Stackelberg equilibrium, respectively. Simulation results reveal that game strategies can bring higher radar detection performance than No game signal, especially when jammer power is lower than radar power. Radar detection probability based on game theory can be increased by up to 10% without changing the power. This demonstrates game strategies have great potentials for radar waveform design in electronic warfare.

Design of Matched and Mismatched Filters Based on Peak Sidelobe Level Minimization

“…The waveform design in transmit signals and received filters is one of the most important issues in radar systems. There exist lots of research to find optimal filters based on various criteria [5][6][7][8]. The first study in the generation of filters for the sidelobe reduction was framed in [9] where the main goal is to minimize the sidelobe energy over multiple input sequences.…”