Adaptive allocation strategy for cooperatively jamming netted radar system based on improved cuckoo search algorithm

The jamming resource allocation problem of the aircraft formation cooperatively jamming netted radar system is investigated. An adaptive allocation strategy based on dynamic adaptive discrete cuckoo search algorithm (DADCS) is proposed, whose core is to adjust allocation scheme of limited jamming resource of aircraft formation in real time to maintain the best jamming effectiveness against netted radar system. Firstly, considering the information fusion rules and different working modes of the netted radar system, a two-factor jamming effectiveness evaluation function is constructed, detection probability and aiming probability are adopted to characterize jamming effectiveness against netted radar system in searching and tracking mode, respectively. Then a nonconvex optimization model for cooperatively jamming netted radar system is established. Finally, a dynamic adaptive discrete cuckoo search algorithm (DADCS) is constructed by improving path update strategies and introducing a global learning mechanism, and a three-step solution method is proposed subsequently. Simulation results are provided to demonstrate the advantages of the proposed optimization strategy and the effectiveness of the improved algorithm.