In this paper we propose a mobile positioning method based on a recursive least squares (RLS) algorithm for suppressing the non-line of sight (NLOS) effects in cellular systems. The proposed method finds the position of a mobile station from TOAs measured by three BSs. Simulation results show that the proposed method has a fast convergence time and greatly reduces the positioning error especially in NLOS situations. Thus it is expected that the proposed method can be effectively used in a dense urban environment.
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Hak-Young KIM, Won-Sik YOON, Dae Jin KIM, Young Han KIM, "Mobile Positioning Using Improved Least Squares Algorithm in Cellular Systems" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 1, pp. 138-140, January 2001, doi: .
Abstract: In this paper we propose a mobile positioning method based on a recursive least squares (RLS) algorithm for suppressing the non-line of sight (NLOS) effects in cellular systems. The proposed method finds the position of a mobile station from TOAs measured by three BSs. Simulation results show that the proposed method has a fast convergence time and greatly reduces the positioning error especially in NLOS situations. Thus it is expected that the proposed method can be effectively used in a dense urban environment.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_1_138/_p
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@ARTICLE{e84-b_1_138,
author={Hak-Young KIM, Won-Sik YOON, Dae Jin KIM, Young Han KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Mobile Positioning Using Improved Least Squares Algorithm in Cellular Systems},
year={2001},
volume={E84-B},
number={1},
pages={138-140},
abstract={In this paper we propose a mobile positioning method based on a recursive least squares (RLS) algorithm for suppressing the non-line of sight (NLOS) effects in cellular systems. The proposed method finds the position of a mobile station from TOAs measured by three BSs. Simulation results show that the proposed method has a fast convergence time and greatly reduces the positioning error especially in NLOS situations. Thus it is expected that the proposed method can be effectively used in a dense urban environment.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Mobile Positioning Using Improved Least Squares Algorithm in Cellular Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 138
EP - 140
AU - Hak-Young KIM
AU - Won-Sik YOON
AU - Dae Jin KIM
AU - Young Han KIM
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2001
AB - In this paper we propose a mobile positioning method based on a recursive least squares (RLS) algorithm for suppressing the non-line of sight (NLOS) effects in cellular systems. The proposed method finds the position of a mobile station from TOAs measured by three BSs. Simulation results show that the proposed method has a fast convergence time and greatly reduces the positioning error especially in NLOS situations. Thus it is expected that the proposed method can be effectively used in a dense urban environment.
ER -