A performance optimization algorithm of radar signal processing system is proposed. Based on a new modeling mode of radar signal processing system, the values of performance indexes of radar system can be predicted by a performance prediction method during the design phase. Then based on immune clone and immune memory theory in artificial immune system, this paper presents an immune memory clone constrained multi-objective optimization algorithm to generate the optimal system design schemes automatically. Experimental results show that the proposed performance optimization algorithm can search out the optimal design schemes that make system performance reach or near to optimum. The optimal solutions of the proposed algorithm are more diverse and better in terms of uniformity than NSGA-II and SPEA2.

This work was published on Cluster Computing,2017,20(1):359-370. titledPerformance optimization algorithm of radar signal processing system.