Fuzzy Comprehensive Evaluation based NLOS Identification for UWB Indoor Positioning

Fuzzy Comprehensive Evaluation based NLOS Identification for UWB Indoor Positioning

Blog Article

Ultra-wideband (UWB) positioning technology stands out from many indoor positioning technologies with its advantages of high precision.However, non-line-of-sight (NLOS) propagate leads to heavy range error and reduces position accuracy, this paper proposes a NLOS identification method based on channel impulse response (CIR), Leg Support which includes three stages.Firstly, CIR based feature selection is carried out, which includes correlation analysis of calculated features.

Secondly, fuzzy comprehensive evaluation model is introduced to NLOS identification.Finally, time of arrival (TOA) based location estimation is SPORT PROTEIN BERRY realized after NLOS ranging error mitigation.Simulation results show that the average identification rate of NLOS can exceed 86%, and the average positioning error can be reduced by about 0.

5m.