Research on Motion Pattern Classification and Wavelet Denoising Based on TDOA-Chan Algorithm

摘要

In order to solve the problem of noise interference caused by electromagnetic environment in indoor positioning environment, and to reduce the smoothing effect of wavelet denoising, the time difference of arrival (TDOA) algorithm in is applied in ultra wide band (UWB) indoor positioning system. A set of initial coordinate points is calculated by TDOA equations. Fisher linear discriminant is used to classify the set of coordinate points and the motion state is judged. Then wavelet de-noising is used to process the detail coefficient according to different motion states. The experimental results show that the improved algorithm is feasible, which improves the positioning accuracy, avoids the time-consuming iteration calculation, and ensures the real-time positioning.