Fault diagnosis method of radar signal processing system based on PSO test points optimal selection algorithm

When fault diagnosis of signal processing system of some radar is prosecuted with traditional method, many test points are involved and much time is consumed. To solve the problem, the fault diagnosis method based on particle swarm optimization (PSO) test points optimal selection algorithm is researched in this paper. PSO is used in test points optimal selection to improve the convergence velocity and the probability of converging to global optimal value. The algorithm is used in the fault diagnosis of the signal processing system of some radar to reduce the diagnosis time. Simulation experiments show that, with a relatively high diagnosis probability, this algorithm could reduce the number of test points effectively.