Estimating a location of mobile phones or sound source is of considerable interest in wireless communications and signal processing. In this letter, we propose squared range weighted least squares (SRWLS) using the range estimate attained from the Taylor series-based maximum likelihood. The weight can be determined more accurately when using the proposed method, compared with the existing methods using the variance of noise. The simulation results show that the proposed method is superior to the existing methods in RMSE as the measurement noise amount of sensors increases.
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Chee-Hyun PARK, Kwang-Seok HONG, "Squared Range Weighted Least Squares Source Localization Based on the Element-Wise and Vector-Wise Orthogonality Principles" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 12, pp. 3972-3975, December 2009, doi: 10.1587/transcom.E92.B.3972.
Abstract: Estimating a location of mobile phones or sound source is of considerable interest in wireless communications and signal processing. In this letter, we propose squared range weighted least squares (SRWLS) using the range estimate attained from the Taylor series-based maximum likelihood. The weight can be determined more accurately when using the proposed method, compared with the existing methods using the variance of noise. The simulation results show that the proposed method is superior to the existing methods in RMSE as the measurement noise amount of sensors increases.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3972/_p
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@ARTICLE{e92-b_12_3972,
author={Chee-Hyun PARK, Kwang-Seok HONG, },
journal={IEICE TRANSACTIONS on Communications},
title={Squared Range Weighted Least Squares Source Localization Based on the Element-Wise and Vector-Wise Orthogonality Principles},
year={2009},
volume={E92-B},
number={12},
pages={3972-3975},
abstract={Estimating a location of mobile phones or sound source is of considerable interest in wireless communications and signal processing. In this letter, we propose squared range weighted least squares (SRWLS) using the range estimate attained from the Taylor series-based maximum likelihood. The weight can be determined more accurately when using the proposed method, compared with the existing methods using the variance of noise. The simulation results show that the proposed method is superior to the existing methods in RMSE as the measurement noise amount of sensors increases.},
keywords={},
doi={10.1587/transcom.E92.B.3972},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Squared Range Weighted Least Squares Source Localization Based on the Element-Wise and Vector-Wise Orthogonality Principles
T2 - IEICE TRANSACTIONS on Communications
SP - 3972
EP - 3975
AU - Chee-Hyun PARK
AU - Kwang-Seok HONG
PY - 2009
DO - 10.1587/transcom.E92.B.3972
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2009
AB - Estimating a location of mobile phones or sound source is of considerable interest in wireless communications and signal processing. In this letter, we propose squared range weighted least squares (SRWLS) using the range estimate attained from the Taylor series-based maximum likelihood. The weight can be determined more accurately when using the proposed method, compared with the existing methods using the variance of noise. The simulation results show that the proposed method is superior to the existing methods in RMSE as the measurement noise amount of sensors increases.
ER -