离散波束下基站与用户定位方法OA

To address the degradation of positioning performance caused by errors in base station location and orientation in communication systems,a cooperative optimization method for base station and user positioning is proposed.Under discrete beam characteristics,a joint positioning model with static-dynamic separation is constructed,in which the Box Particle Filter(BPF)is introduced in combination with interval analysis theory,and a resampling mechanism is designed to enhance particle diversity,thereby effectively suppressing the non-Gaussian errors in angle measurements.Simulation analyses under different initial base station errors and user occlusion conditions demonstrate that the proposed method outperforms Gaussian-assumption-based Kalman filtering in positioning accuracy,effectively corrects initial base station information errors,and maintains high stability.This study provides a reference for the design and implementation of high-precision positioning systems in discrete beam environments.