A Wi-Fi Wireless Localization Method Based on Local Linear Regression and Position Weighting

Abstract

Abstract.A kind of Wi-Fi wireless location system has been designed and implemented in this research. The system is based on a combined method of local linear regression and position weighting, which develops the traditional ranging algorithm based on RSSI and improves the positioning accuracy. The result shows that the expectation of positioning error is about 2 meters. The error in 83% of the samples is within 3 meters and less than 6 meters in 98%, which shows that the combined method of local linear regression and distributed position weighting can effectively control error range and improve positioning accuracy. With the popularity of indoor wireless routing and mobile phone hotspot, the system will have a very broad application prospects for indoor localization.