Fast Calculation for Cross Ambiguity Function in Passive Detection Systems

摘要

Passive detection is an effective way to monitor the security of the airspace, in which cross ambiguity function is utilized to obtain the distance and velocity information about the targets. However, the calculation load of the conventional traversal method is tremendous, which cannot satisfy the realtime requirement of the system. In this paper, we propose a fast calculation algorithm in passive detection systems. Chicken swarm optimization (CSO) based heuristic search algorithm is exploited to lessen the computational burden. Location discretization, uniform initialization and random generation of the chicks' location are proposed to increase the computational efficiency further. The experimental results show that our proposed method can achieve the target detection with reduced complexity. Compared with the conventional traversal algorithm, the improved CSO algorithm can reduce the computational complexity for 4 orders of magnitude in general.