Joint Target Assignment and Orientation Planning Method for Radar Networking
Most modern radars are installed on rotatable platforms,allowing their array orientations to be dynamically adjusted.However,current mainstream target assignment algorithms often assume that the radar array orientations are fixed,neglecting their flexible adjustment capabilities,thereby limiting the overall operational effectiveness of radar networks in complex battlefield envi-ronments.To address this issue,a joint target assignment and orientation planning algorithm has been proposed.Firstly,by exten-ding the dimensions of the assignment matrix,the target-sensor assignment is refined to the level of array orientation.Secondly,by introducing new constraint conditions,it ensures that each radar selects only one array orientation at each moment.Finally,a ge-netic algorithm is designed based on the model characteristics to achieve efficient solution of the assignment problem.Simulations demonstrate that compared to traditional fixed-orientation methods,the proposed assignment method achieves higher target coverage and overlap coverage.
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维普
