TY - GEN
T1 - Positioning for NLOS propagation
T2 - algorithm derivations and Cramer-Rao bounds
AU - Miao, Honglei
AU - Yu, Kegen
AU - Juntti, Markku J.
PY - 2006
Y1 - 2006
N2 - Mobile positioning has drawn significant attention in recent years. In dealing with the non-line-of-sight (NLOS) propagation error, the dominant error source in the mobile positioning, most previous research in this area has focused on the NLOS identification and mitigation. In this paper, we investigate new positioning algorithms to take advantage of the NLOS propagation paths rather than cancelling them. Based on the prior information about the NLOS path, a least squares based position estimation algorithm is developed and its performance in terms of root mean square error (RMSE) is also analyzed. Furthermore, the maximum likelihood based algorithm is presented to jointly estimate the mobile's and scatterers' positions. The Cramer-Rao lower bound on the RMSE is derived for the benchmark of the performance comparison. Finally, the performances of the proposed algorithms are evaluated analytically and via computer simulations. Numerical results demonstrate that the simulated results closely match the derived analytical results.
AB - Mobile positioning has drawn significant attention in recent years. In dealing with the non-line-of-sight (NLOS) propagation error, the dominant error source in the mobile positioning, most previous research in this area has focused on the NLOS identification and mitigation. In this paper, we investigate new positioning algorithms to take advantage of the NLOS propagation paths rather than cancelling them. Based on the prior information about the NLOS path, a least squares based position estimation algorithm is developed and its performance in terms of root mean square error (RMSE) is also analyzed. Furthermore, the maximum likelihood based algorithm is presented to jointly estimate the mobile's and scatterers' positions. The Cramer-Rao lower bound on the RMSE is derived for the benchmark of the performance comparison. Finally, the performances of the proposed algorithms are evaluated analytically and via computer simulations. Numerical results demonstrate that the simulated results closely match the derived analytical results.
UR - http://www.scopus.com/inward/record.url?scp=33947671774&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2006.1661151
DO - 10.1109/ICASSP.2006.1661151
M3 - Conference proceeding contribution
SN - 142440469X
SN - 9781424404698
VL - 4
T3 - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
SP - 1045
EP - 1048
BT - Proceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
ER -