Airborne radar air-to-air RF stealth detection parameter design based on NSGA-Ⅲ
The target detection requires a large radiation power for radar,however,this would enlarge its radiation characteristics and reduce the ability of radio frequency(RF)stealth,hence it is becoming a challenge to balance the performance of RF stealth and detection.Therefore in this paper,a multi-target optimal parameters design method is proposed for airborne radar air moving RF stealth detection mode.The proposed method firstly establishes a multi-target optimization model for RF stealth detection of air moving target,and then non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ)is applied to solve this model to obtain the Pareto optimal solution set.Finally,an optimal solution can be selected by using the analytic hierarchy process and technique for order preference by similarity to ideal solution multi-property decision method.The results of numerical experiments verify the efficacy of the proposed method can be applied to the air moving target RF stealth detection parameters design.
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