Cooperative Jamming Resource Allocation Based on Tabu Search-Genetic Algorithm

Abstract

How to use limited jamming resources to obtain maximum jamming benefit is one of the key technologies in the field of electromagnetic interference. In the problem of jamming resource allocation in the field of electromagnetic interference, the optimization process of genetic algorithm (GA) has great probability being trapped in the local optimal solution. In this paper, tabu search-genetic algorithm (TSGA) is proposed to avoid falling in local optimal. The objective function of the allocation of jamming resources is constructed on the detection probability and solved by TSGA. The simulation results illustrate that compared with genetic algorithm, the algorithm has decent global optimization ability and can well solve the problem of netted-radar cooperative jamming resource allocation.