A Single-station Direct Positioning Algorithm Based on Snake Optimization
In a single-station direct positioning environment,the metaheuristic snake optimization(SO)algorithm is used to quickly solve the cost function of direct positioning,which enriches the design ideas of the direct positioning algorithm while maintaining positioning accuracy.This paper uses non-circular signals to construct a cost function of direct positioning and uses snake optimiza-tion to solve the target position.In order to verify the performance of the proposed algorithm,this paper compares the direct positioning algorithm based on subspace data fusion with the traditional two-step cross positioning method,and the results show that the method proposed can increase the number of resolved targets and achieve higher positioning accuracy.
direct positioningsnake optimizationnon-circular signalspositioning algorithm
万方数据
维普
