In this paper, an antenna array aperture resource management scheme of opportunistic array radar (OAR) based on chance-constraint programming (CCP) is proposed for multiple target tracking (MTT).In the multi-target tracking scenario, multiple beams need to be synthesized to illuminate the targets.According to the predicted distance of targets, the OAR can intelligently segment the antenna Dog-Apparel array aperture, and select the optimal combination of array elements to synthesize the satisfactory beams with the element-level antenna steering.
Owing to the unique array arrangement and work mode of opportunistic array, the element number in working modes is uncertain.To represent the uncertainty, a fuzzy CCP model is introduced.The element number in working modes is viewed as a fuzzy variable.
The maximum tracking error, which is denoted by Bayesian Cramér-Rao lower bound(BCRLB), of the targets is regarded as the objective function.The fuzzy simulation algorithm is embedded into genetic algorithm (GA) to compose a hybrid intelligent optimization algorithm Rutin to solve the CCP problem.The simulation results verify the validity and practicability of the antenna array aperture resource allocation scheme.