Research on WiFi Indoor Positioning Error Correction Method Based on Adaptive Genetic Algorithm

In view of the shortcomings of traditional mean filtering and Kalman filtering in the process of receiving indoor WiFi positioning signal, a new method of correction of indoor positioning error based on adaptive genetic algorithm is proposed. In order to improve the accuracy of dynamic adaptive genetic signal processing, the algorithm uses adaptive genetic algorithm to modify the singular value of the average distance per hop and the error of measurement distance, and then the modified adaptive genetic value is processed again by weighted filter. The simulation results show that the algorithm has high accuracy, and compared with mean filter and Kalman filter, the algorithm has a great improvement in the influence of average ranging error and communication radius on the error.