Simulation of Monopulse Radar Under Jamming Environments Based on Space Slicing

Under jamming environments, the simulation system of monopulse radar consumes substantial computational resources due to echo signal and jamming signal generation, as well as real-time radar signal processing, leading to large time consumption in evaluating the radar's anti-jamming performance in complex electromagnetic jamming scenarios. This paper proposes a monopulse radar simulation strategy based on space slicing to improve simulation efficiency. By considering the operational characteristics of the monopulse radar, including search, acquisition, track, and narrow search modes, the space where radar and target are located is divided into discrete grid points in different granularity. The simulation results for each slice are used to replace full-process real-time signal processing, thus improving the overall efficiency of the simulation system. The estimation errors of the target's range, velocity, and angular after space slicing are theoretically analyzed. Simulation experiments demonstrate that, by utilizing the proposed space slicing strategy, the simulation speed is improved dramatically, with target parameter estimation errors remaining relatively small compared to full-process real-time simulations.