Indoor single station location technology for basketball court based on differential evolution algorithm for terminal multi-path fingerprint features

Abstract

With the increasing demand for location information, applications based on location information are also showing a diversified trend. Traditional indoor positioning technology often requires multiple base stations or relies on external devices to achieve positioning. To better avoid the problem of synchronization between sites in multi-site positioning systems, this study proposes a positioning method based on differential evolution algorithm in indoor non line of sight scenarios with known access point locations. By collecting multi-path fingerprint features from terminals and utilizing differential evolution algorithm for optimization, a single station positioning system based on differential evolution algorithm was established to achieve indoor single station positioning of basketball courts. The experiment shows that the positioning model can achieve 90% accuracy when the distance between $RP$ is 0.8 m. In terms of positioning performance, a grid spacing of 0.5 meters is the best. Based on differential evolution algorithm, it can not only overcome the issue of error increase caused by multi-path effects but also improve positioning accuracy and stability. This study is essential for the design and optimization of indoor positioning systems.