Research on Digital Key Positioning Method Based on Bluetooth Low Energy
Yang Xu, Xingyu Yang, Jingtao Zhang, Jianjie Yang, Jie Tang · 2022
The development of Bluetooth technology and mobile communication technology makes it possible for smartphones to replace traditional car keys. In order to achieve high-precision positioning and accurate identification of smartphones in the vehicle environment, this paper adopts a location fingerprint method based on Bluetooth Low Energy (BLE) technology. In the stage of offline fingerprint database construction, a fusion filtering algorithm based on moving average and Kalman filtering is used to obtain more stable data. In the phase of location and identification, a binary K-means clustering based on the similarity of position coordinates combined with weighted K-nearest neighbor (WKNN) algorithm is proposed to locate and identify smartphones. The experimental results show that the proposed algorithm improves the recognition accuracy of smartphones by 8.8% compared with the K-nearest neighbor (KNN) algorithm, and reduces the positioning error from 1.56m to 0.41m.