Distributed jamming optimal array method for sidelobe cancellation
Sidelobe cancellation(SLC)has the ability of anti-jamming,so it is widely used in the field of radar anti-jamming.Under the condition of limited distributed jamming array,aiming at the poor jamming effect caused by the SLC system,an algorithm based on the combination of genetic algorithm(GA)and particle swarm optimization(PSO)for SLC is proposed,and the array of distributed jamming according to the characteristics of SLC is planned and arranged.Under the condition of limited jamming resources,the optimization results of distributed jamming array are compared and studied by exhaustive method,standard PSO algorithm and GA-PSO.The jamming effect and iteration times of the three methods are simulated and analyzed under certain conditions.GA-PSO algorithm can sacrifice less time complexity to achieve better jamming effect.
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