The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Esta Carta trata do problema da não linha de visão (NLOS) em sistemas celulares dedicados a fins de localização. Em conjugação com uma técnica de carregamento variável, apresentamos uma técnica eficiente para fazer com que o estimador de mínimos quadrados de modelagem de covariância tenha capacidades robustas contra os efeitos NLOS. Comparado com outros métodos, o estimador aprimorado proposto possui alta precisão sob ruídos de medição gaussianos brancos e efeitos NLOS.
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Ann-Chen CHANG, Yu-Hong LEE, "Mobile Location Using Improved Covariance Shaping Least-Squares Estimation in Cellular Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 9, pp. 2366-2368, September 2009, doi: 10.1587/transfun.E92.A.2366.
Abstract: This Letter deals with the problem of non-line-of-sight (NLOS) in cellular systems devoted to location purposes. In conjugation with a variable loading technique, we present an efficient technique to make covariance shaping least squares estimator has robust capabilities against the NLOS effects. Compared with other methods, the proposed improved estimator has high accuracy under white Gaussian measurement noises and NLOS effects.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.2366/_p
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@ARTICLE{e92-a_9_2366,
author={Ann-Chen CHANG, Yu-Hong LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Mobile Location Using Improved Covariance Shaping Least-Squares Estimation in Cellular Systems},
year={2009},
volume={E92-A},
number={9},
pages={2366-2368},
abstract={This Letter deals with the problem of non-line-of-sight (NLOS) in cellular systems devoted to location purposes. In conjugation with a variable loading technique, we present an efficient technique to make covariance shaping least squares estimator has robust capabilities against the NLOS effects. Compared with other methods, the proposed improved estimator has high accuracy under white Gaussian measurement noises and NLOS effects.},
keywords={},
doi={10.1587/transfun.E92.A.2366},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Mobile Location Using Improved Covariance Shaping Least-Squares Estimation in Cellular Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2366
EP - 2368
AU - Ann-Chen CHANG
AU - Yu-Hong LEE
PY - 2009
DO - 10.1587/transfun.E92.A.2366
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2009
AB - This Letter deals with the problem of non-line-of-sight (NLOS) in cellular systems devoted to location purposes. In conjugation with a variable loading technique, we present an efficient technique to make covariance shaping least squares estimator has robust capabilities against the NLOS effects. Compared with other methods, the proposed improved estimator has high accuracy under white Gaussian measurement noises and NLOS effects.
ER -