Application of radio frequency positioning technology in TDOA system based on improved genetic algorithm

Radio frequency identification is applied to the indoor location system of store environment in the paper. According to the radio frequency communication signal time difference between reader and merchandise tag, it can be easy to measure goods spatial position. In the research, we use smoothing method to construct the original measured data to degrade NLOS error. Then improved genetic algorithm is applied to solve the multi-dimensional nonlinear model as well. The experimental simulation results show a good performance. It is able to deal with large scale awaiting positioning target attribute data.