Abstract
Because of the unknown target information and the complex time-varying environments, the uncertainty of target information is introduced into the radar echo model, and hence to reduce the influence of uncertainty of target information and save the antenna array elements. A novel grey chance constrained programming (GCCP) model is proposed for antenna aperture resource management of digital array radar. For solving the multi-object model, the grey simulation is integrated into fast and elitist nondominated sorting genetic algorithm (NSGA_II) to compose a hybrid optimization algorithm on the condition that the specified confidence levels are satisfied. Simulations are carried out to verify the effectiveness of the proposed GCCP model. Finally, the optimal solutions of antenna aperture allocation are obtained.
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