基于行人航迹推算的蓝牙峰值检测方法.

In indoor localization, PDR method is one of the most convenient localization methods, but the cumulative error will get larger as the distance traveled increases. The use of Bluetooth peak correction algorithm can effectively reduce the cumulative error of PDR, but the Bluetooth signal has the problem of pseudo-peak and mis-peak in multi-Bluetooth base stations. To address the above problems, this paper proposed a PDR-based Bluetooth peak detection method. The method first calculated the prediction probability based on the PDR position estimation information and Bluetooth distribution information to filter out the closest Bluetooth in the forward direction, thus reducing false peaks. Secondly, it calculated the adaptive threshold based on the change of the signal, thus outputting the switching sate to find the wave peak, to detect the true peak and reduce the false peak. Finally, this paper used an improved Bluetooth peak correction algorithm to correct the PDR position estimation. The experimental results show that the proposed method can achieve a correct peak detection rate of 82.1% on Android smartphones . Compared with the traditional sliding window peak detection method, it can effectively reduce the interference of pseudo-peaks and false peaks, and reduce the cumulative error of PDR. [ABSTRACT FROM AUTHOR]