Research on TDOA Localization Strategy Based on OSSA-Chan Collaborative Algorithm

In this paper, we propose a fusion OSSA-Chan cooperative localization method for the TDOA passive localization problem of remote islands and reefs. The position vector is constructed by WGS84-ECEF coordinate conversion, and the positioning model is constructed by TDOA algorithm. In order to improve the accuracy and stability of the traditional algorithm, the optimized sparrow search algorithm and Chan cooperative strategy are introduced. After the initial solving of Chan, the optimized sparrow search algorithm is used to disperse the search and iteratively find the optimal. The algorithm accelerates the optimization with the help of inverse learning strategy, avoids local optimization, and improves the search accuracy by the adaptive speed updating factor. Experiments show that the optimization ability and positioning accuracy of this algorithm are better than traditional methods. At the same time, this paper further analyzes the estimation of the target position of 4 base stations to provide theoretical and practical support for the solution of TDOA positioning model.