Integrated Signal Design for Detection in Jamming Based on Particle Swarm Optimization

The current generation of combat aircraft and their avionics (mission systems) have entered a new era characterized by intergenerational advancements. Whether manned or unmanned, fighter or bomber, all platforms are inherently designed with advanced stealth capabilities. Consequently, the operational tasks and aircraft platforms inevitably impose stringent intergenerational requirements on the SWAP (Size, Weight, Power, and Price) of the mission systems. Functional subsystems, starting from the antenna aperture, must transition from the highly integrated designs seen in fourth-generation aircraft to the more unified systems of the next generation. Among these, radar, electronic warfare, and CNI (Communications, Navigation, and Identification) systems must share resources and even share signals. As part of early-stage technology exploration does this paper put forward an integrated signal design method for interference detection, utilizing Particle Swarm Optimization (PSO). First, quantitative metrics for signal detection and jamming performance are constructed, establishing an integrated signal optimization objective function, which is then solved using the Particle Swarm Optimization algorithm. Subsequently, to fully account for practical complex adversarial environments, two scenarios are examined: one with a priori knowledge of enemy radar signal parameters, and the other where parameters must be estimated. The CLEAN algorithm is applied in the first case, while dechirping filtering along with sparse recovery algorithms is adopted in the second, respectively, to suppress co-frequency interference. Finally, simulation results demonstrate that the designed signal exhibits excellent detection and jamming performance, confirming the effectiveness of the proposed method.