IEICE TRANSACTIONS on Communications
Minimax Mean-Squared Error Location Estimation Using TOA Measurements
Summary :
This letter deals with mobile location estimation based on a minimax mean-squared error (MSE) algorithm using time-of-arrival (TOA) measurements for mitigating the nonline-of-sight (NLOS) effects in cellular systems. Simulation results are provided for illustrating the minimax MSE estimator yields good performance than the other least squares and weighted least squares estimators under relatively low signal-to-noise ratio and moderately NLOS conditions.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.8 pp.2223-2225
- Publication Date
- 2010/08/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.2223
- Type of Manuscript
- LETTER
- Category
- Sensing
Authors
Keyword
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Chih-Chang SHEN, Ann-Chen CHANG, "Minimax Mean-Squared Error Location Estimation Using TOA Measurements" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 8, pp. 2223-2225, August 2010, doi: 10.1587/transcom.E93.B.2223.
Abstract: This letter deals with mobile location estimation based on a minimax mean-squared error (MSE) algorithm using time-of-arrival (TOA) measurements for mitigating the nonline-of-sight (NLOS) effects in cellular systems. Simulation results are provided for illustrating the minimax MSE estimator yields good performance than the other least squares and weighted least squares estimators under relatively low signal-to-noise ratio and moderately NLOS conditions.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.2223/_p
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@ARTICLE{e93-b_8_2223,
author={Chih-Chang SHEN, Ann-Chen CHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Minimax Mean-Squared Error Location Estimation Using TOA Measurements},
year={2010},
volume={E93-B},
number={8},
pages={2223-2225},
abstract={This letter deals with mobile location estimation based on a minimax mean-squared error (MSE) algorithm using time-of-arrival (TOA) measurements for mitigating the nonline-of-sight (NLOS) effects in cellular systems. Simulation results are provided for illustrating the minimax MSE estimator yields good performance than the other least squares and weighted least squares estimators under relatively low signal-to-noise ratio and moderately NLOS conditions.},
keywords={},
doi={10.1587/transcom.E93.B.2223},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Minimax Mean-Squared Error Location Estimation Using TOA Measurements
T2 - IEICE TRANSACTIONS on Communications
SP - 2223
EP - 2225
AU - Chih-Chang SHEN
AU - Ann-Chen CHANG
PY - 2010
DO - 10.1587/transcom.E93.B.2223
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2010
AB - This letter deals with mobile location estimation based on a minimax mean-squared error (MSE) algorithm using time-of-arrival (TOA) measurements for mitigating the nonline-of-sight (NLOS) effects in cellular systems. Simulation results are provided for illustrating the minimax MSE estimator yields good performance than the other least squares and weighted least squares estimators under relatively low signal-to-noise ratio and moderately NLOS conditions.
ER -
English
