Optimization of AOA localization station distribution based on improved black-winged kite algorithm

Aiming at the problem of station distribution for AOA cooperative localization, an improved black-winged kite optimization algorithm is proposed, which integrates a random differential mutation strategy to generate new individuals and increase population diversity, making the algorithm less likely to fall into local optimum. Combined with the local search ability of the simplex method, the optimization results are improved. Through comparison with traditional algorithms and traditional station placement methods, the superiority of the improved algorithm in optimization ability and the feasibility of optimized station placement are verified. In the case of positioning a target in a designated area, the algorithm can be used to rationally arrange the positions of observation stations and improve the positioning accuracy of the target.