Research On The WLAN Indoor Tracking Algorithm Based On Improved Particle Filter

With the development of computer technology, the demand for location services has increased significantly, and high-precision indoor location estimation is becoming the core of location services. The WLAN (Wireless Local Area Network) indoor positioning system covers an increasingly wide range, and does not need to add additional position estimation hardware, so it gets the most widespread concern. The real-time location information of mobile body is also very important, and therefore the indoor tracking technology has achieved rapid development.However, in the WLAN indoor positioning system, due to the noise and multipath characteristics, the traditional location fingerprint technology use less information, and only provide static matching, it can not provide accurate positioning. Therefore, Precise tracking in WLAN indoor positioning system has become a research focus.Compared to the location fingerprint technology, estimation theory based on particle filter takes advantage of more information, such as the speed and noise distribution of the mobile body, so it can be well used for tracking. Therefore, in order to improve the tracking accuracy of WLAN indoor positioning system, this paper conducted the following studies:Firstly, the principle and basic process of particle filter algorithm are studied, the WLAN indoor positioning system features have are analyzed, WLAN indoor particle filter optimization algorithm, which combines the particle filter algorithms and pattern matching algorithms, is introduced, and the tracking performance of the algorithm is studied by simulation.Secondly, the problems in the particle filter optimization algorithm and the traditional pattern matching algorithm are analyzed, and then non-parametric density estimation technique is studied. Thus the WLAN indoor track algorithm based on non-parametric particle filter is proposed.Finally, this paper solves the degradation problem of particle filter by further introducing auxiliary particle filter, and proposes the improved WLAN indoor tracking algorithm based on non-parametric auxiliary particle filter. At the same time through the simulation of a real WLAN environment, this paper analyzes the tracking performances of the non-parametric particle filter and non-parametric auxiliary particle filter, and compares these algorithms with the traditional the algorithm.