IEEE Transactions on Wireless Communications
A hybrid SS-ToA wireless NLoS geolocation based on path attenuation: mobile position estimation
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Mobile location estimator in mixed LOS/NLOS conditions using UKF banks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
Robust mobile terminal tracking in NLOS environments based on data association
IEEE Transactions on Signal Processing
Non-line of Sight Error Mitigation in Ultra-wideband Ranging Systems Using Biased Kalman Filtering
Journal of Signal Processing Systems
TDOA positioning in NLOS scenarios by particle filtering
Wireless Networks
| Hi-index | 0.01 |
A Kalman-based interacting multiple model (IMM) smoother is proposed for mobile location estimation with the time of arrival (TOA) measurement data in cellular networks to meet the Federal Communications Commission (FCC) requirement for phase 2. In this study, the line-of-sight (LOS) and non-line-of-sight (NLOS) conditions in cellular networks are considered as a Markov process with two interactive modes. Then we propose a Kalman-based IMM smoother to accurately estimate smooth range between the corresponding base station (BS) and mobile station (MS) in cellular networks. It is shown that the proposed mobile location estimator can efficiently mitigate the NLOS effects of the measurement range error even when the corresponding BS changes the condition between LOS and NLOS. Simulation results demonstrate that the performance of the proposed Kalman-based IMM smoother is improved significantly over the FCC target in both fixed LOS/NLOS and LOS/NLOS transition conditions