Range Difference Estimation for UWB Channels with NLOS Propagation Errors
نویسندگان
چکیده
In this paper, a range difference estimation technique with NLOS error mitigation by using biased Kalman filter for ultra-wideband (UWB) environments is presented. NLOS error is considered one of the major error sources in wireless location systems. To improve TDOA location accuracy in UWB location systems, NLOS identification and mitigation techniques suitable for UWB systems are derived. Kalman filters (KFs) are used for smoothing range data and mitigating NLOS errors. The simulation results show that the NLOS mitigation method with biased Kalman filter achieves high accuracy in range difference estimation for mobile positioning and tracking.
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