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Research on the Indoor Tracking Based on Particle Filter Algorithm

Author: LiuZuoYu
Tutor: XuYuBin
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: Indoor track Particle filter Particle position optimization Interpolation optimization
CLC: TN953
Type: Master's thesis
Year: 2010
Downloads: 80
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Abstract


With the increasing demand for location-aware services, high-precision indoor location for gradually become the core content of the location-based services. WLAN flexibility, mobility and simple peer-to-peer technology has advantages such that the WLAN-based location service system gradually become a research hotspot. In practice, the real-time dynamic user location information is also very important, indoor tracking technology is precisely for this reason has been rapid development. Particle filtering algorithm due to its non-linear, non-Gaussian model demonstrated excellent performance, making it more and more attention has been paid. Therefore, this research based WLAN indoor particle filter tracking technology, improve indoor tracking accuracy of the algorithm and particle filter algorithm to find. WLAN indoor tracking technology is divided into two phases: the offline phase and online phase. Offline phase, obtained by measuring the signal at the reference point signal coverage map, model and storage location fingerprint information; online stage, the user to be tracked through the wireless collection terminal real-time signal strength using specific tracking algorithm within the coverage map search completion of the estimated position. In this paper, the particle filter algorithm, two improved algorithms: optimized based on the position of the particle and particle filter tracking algorithm based on interpolation optimized. First, this paper outlines a model of WLAN indoor tracking system. Based on the positioning tracking algorithm and Kalman filter tracking algorithm two traditional tracking method, particle filter algorithm. Find out in the indoor environment, the advantages and disadvantages of the traditional methods, and further leads to the particle filter algorithm is applied to the advantages and necessity of WLAN indoor environment. Secondly, through the study of mathematical model of the indoor WLAN particle filter tracking algorithm is proposed based on the position of the particle optimization based on interpolation optimized particle filter tracking algorithm to solve the problem of how to obtain the signal intensity values ??of the particle at the point. The former through the reference point at the approximate signal strength is assigned to the point of particle; the latter according to the spatial correlation of signal strength through the reference point interpolation point value of the signal obtained particles, by improving the algorithm to obtain the complete particle at the point of signal intensity value. Followed by the histogram method and kernel method to obtain the particle at the point of the probability density distribution, an estimated position of the mobile terminal. Finally, through testing and experimental simulation of the physical environment, the use of existing indoor tracking algorithm and improved particle filter tracking algorithm to complete the track, a comparative analysis of the above methods to verify the effect of the improved method, as well as topics The application provides a variety of improved particle filter tracking technology.

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