Research on Optimal Search of Phased Array Radar Based on Radio Frequency Stealth

A new search algorithm for phased array radar which is based on radio frequency stealth is proposed in this paper. Two cases are studied. For the first case, when the indication information is available, parameters including the beam width, the dwelling time and the average power are optimized by Particle Swarm Optimization (PSO), and a minimum energy cost model is set up by using Grey Relational Grade (GRG). For the second case, when there is no indication information, a two-step search algorithm is proposed to reduce the energy cost of searching the target with a low probability to appear. Compared with other search algorithms, the simulation results show that our algorithm can consume less energy and provide better performance in term of radio frequency stealth.