Research On Indoor Wireless Location Algorithm Fused With TDOA And RSSI

With the development of technology and the improvement of people's life,the demand of high precision,high stability and high coverage indoor location service is increasing.However,because of the complex building structure and the indoor signal is susceptible to keep out,there are some defects in the GPS and cellular network positioning system.On the other hand,the indoor positioning systems,like WLAN and WSN,are not suitable for the wide area.Based on the project background,this paper presents an indoor location algorithm fused with TDOA and RSSI and a particle filter location correction algorithm basing on kalman sliding estimation.The main work of this paper is as followed:Firstly,we research on the existing indoor wireless location technology and system.And then,we present an indoor location algorithm fused with TDOA and RSSI and an adaptive weight values selection method.We analyse the location effect by the simulation data and verify that our proposed algorithm improves positioning accuracy effectively,compared to traditional algorithms using TDOA or RSSI only.Secondly,aiming at the indoor walking pattern with high measurement noise,we do research on the common filtering technology in location system.And then,we present a particle filter location correction algorithm based on kalman sliding estimation.Using nine group common indoor walking patterns,we analyse the choice of the parameters in the algorithm and verify the algorithm is better than the standard,extended and unscented kalman filter.Finally,based on project experimental platform,we design and develope the indoor location software fused with TDOA and RSSI,and propose the solution of the precise indoor positioning terminal.