Indoor PDR Algorithm Based on RSSI Ranging Positioning

doi:10.3969/j.issn.1006-2475.2016.09.019

Abstract

Abstract: In the indoor positioning system， the RSSI ranging positioning system encounters unpredictable random variation due to environmental uncertainty and Pedestrian Dead Reckoning positioning (PDR) system drift errors causes cumulative effect of prolonged positioning. An indoor PDR algorithm based on RSSI ranging positioning is proposed, which the final positioning result is based on extended Kalman filter output of fusion location information. The simulation results indicate that the fusion positioning algorithm shows up its good performance in the aspects of stability, which average location error is about 0.83205 m, maintaining from 0.51948 m to 1.13529 m. The rationality and availability of the scheme are verified.

Key words: indoor positioning, received signal strength indication, pedestrian dead reckoning, fusion algorithm, extended Kalman filter

CLC Number:

TP303

HU Hong, LI Xue-mei, QIN Li-yuan, KANG De， LU Chang-jiang. Indoor PDR Algorithm Based on RSSI Ranging Positioning[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.09.019.

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