关键词: WiFi室内定位, 惯性传感器, 高斯粒子滤波, 轨迹, 指纹数据库

Abstract: In the wireless indoor positioning research, it proposes using the phone built inertial acceleration sensor data to calculate the user’s motion path, automatically acquires the fingerprint data when passing through the fingerprint, automatically builds fingerprint database to reduce the large amount of data collection in the stage of off-line fingerprint database establishment. Due to cellphone’s built-in acceleration sensors collect data exists non-linear noise and other interference, it proposes an improved GPF（Gaussian Particle Filter）algorithm, the improved filtering algorithm acceleration filtered samples get a better valuation to calculate the motion path. It results a significant effect on state variables obeys linear variation and observed equation obeys nonlinear changes system model. Experimental results show that the improved algorithm to calculate the path is better than Gaussian particle filter algorithm and Kalman filter algorithm and reduces the computational complexity. After the new method to establish the database, it will save a lot of off-line data collection job, but basically the same accuracy as compared with the traditional method of fingerprint database.

Key words: WiFi indoor positioning, inertial sensors, Gaussian particle filter, track, fingerprint database