Bootstrapping$M$-Estimators for Reducing Errors due to Non-Line-of-Sight (NLOS) Propagation
- 24 August 2004
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 8 (8) , 509-510
- https://doi.org/10.1109/lcomm.2004.833831
Abstract
Mobile positioning is made difficult by nonsymmetric contamination of measured time-of-arrival (TOA) data caused by non-line-of-sight (NLOS) propagation. In this letter, a robust NLOS error mitigation algorithm based on Bootstrapping M-estimation is proposed without prior NLOS error distribution. A simulation comparison is performed in different channel environments between the proposed algorithm and two additional ones (least-square and Huber estimator). The proposed algorithm clearly outperforms the other two.Keywords
This publication has 6 references indexed in Scilit:
- A non-line-of-sight error mitigation algorithm in location estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The non-line of sight problem in mobile location estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust Huber adaptive filterIEEE Transactions on Signal Processing, 1999
- Overview of radiolocation in CDMA cellular systemsIEEE Communications Magazine, 1998
- The bootstrap and its application in signal processingIEEE Signal Processing Magazine, 1998
- Simulation of urban vehicle-monitoring systemsIEEE Transactions on Vehicular Technology, 1972