Indoor Localization Technology Based on NLOS Identification and Offset and Improved Particle Filter
Due to the effect of non-line-of-sight (NLOS) propagation in harsh indoor environment, the accuracy of measured distance will drop sharply, and the inaccuracy of measurement will finally reduce the localization accuracy. This paper is conducted under the condition that environment map is known. Firstly identifying the state of the mobile node (MN), then adopting certain offset to mitigate positive biases introduced by NLOS propagation, at last introducing the current observation data in the process of prediction and resample of particle filter and use this improved particle filter (IPF) to track MN. Simulation results show that by using the proposed algorithm, the localization accuracy will be improved obviously.
KeywordsIndoor location NLOS identification and offset Particle filter Least squares
This research is supported by research forums cooperation project of ZTE Corporation.
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