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
Neste artigo é proposta uma nova metodologia para estimar o número de estações concorrentes em uma rede IEEE 802.11. Devido à natureza não linear do modelo de medição, um algoritmo de filtragem não linear iterativo, denominado Filtro Não Perfumado Escalado (SUF), é empregado. O SUF pode fornecer uma alternativa superior à filtragem não linear do que o Filtro de Kalman Estendido convencional (EKF), pois evita erros associados à linearização. Esta abordagem demonstra alta precisão e reatividade imediata a mudanças no status de ocupação da rede. Em particular, o algoritmo proposto apresenta desempenho superior em condições não saturadas quando comparado ao EKF. Os resultados numéricos demonstram que o algoritmo proposto fornece um método mais viável para estimativa do número de estações concorrentes em uma rede IEEE 802.11, do que estimadores baseados no EKF.
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Jang Sub KIM, Ho Jin SHIN, Dong Ryeol SHIN, "Improved Estimation of the Number of Competing Stations Using Scaled Unscented Filter in an IEEE 802.11 Network" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 11, pp. 3688-3694, November 2008, doi: 10.1093/ietcom/e91-b.11.3688.
Abstract: In this paper, a new methodology to estimate the number of competing stations in an IEEE 802.11 network, is proposed. Due to the nonlinear nature of the measurement model, an iterative nonlinear filtering algorithm, called the Scaled Unscented Filter (SUF), is employed. The SUF can provide a superior alternative to nonlinear filtering than the conventional Extended Kalman Filter (EKF), since it avoids errors associated with linearization. This approach demonstrates both high accuracy in addition to prompt reactivity to changes in the network occupancy status. In particular, the proposed algorithm shows superior performance in non saturated conditions when compared to the EKF. Numerical results demonstrate that the proposed algorithm provides a more viable method for estimation of the number of competing stations in an IEEE 802.11 network, than estimators based on the EKF.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.11.3688/_p
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@ARTICLE{e91-b_11_3688,
author={Jang Sub KIM, Ho Jin SHIN, Dong Ryeol SHIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Improved Estimation of the Number of Competing Stations Using Scaled Unscented Filter in an IEEE 802.11 Network},
year={2008},
volume={E91-B},
number={11},
pages={3688-3694},
abstract={In this paper, a new methodology to estimate the number of competing stations in an IEEE 802.11 network, is proposed. Due to the nonlinear nature of the measurement model, an iterative nonlinear filtering algorithm, called the Scaled Unscented Filter (SUF), is employed. The SUF can provide a superior alternative to nonlinear filtering than the conventional Extended Kalman Filter (EKF), since it avoids errors associated with linearization. This approach demonstrates both high accuracy in addition to prompt reactivity to changes in the network occupancy status. In particular, the proposed algorithm shows superior performance in non saturated conditions when compared to the EKF. Numerical results demonstrate that the proposed algorithm provides a more viable method for estimation of the number of competing stations in an IEEE 802.11 network, than estimators based on the EKF.},
keywords={},
doi={10.1093/ietcom/e91-b.11.3688},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Improved Estimation of the Number of Competing Stations Using Scaled Unscented Filter in an IEEE 802.11 Network
T2 - IEICE TRANSACTIONS on Communications
SP - 3688
EP - 3694
AU - Jang Sub KIM
AU - Ho Jin SHIN
AU - Dong Ryeol SHIN
PY - 2008
DO - 10.1093/ietcom/e91-b.11.3688
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2008
AB - In this paper, a new methodology to estimate the number of competing stations in an IEEE 802.11 network, is proposed. Due to the nonlinear nature of the measurement model, an iterative nonlinear filtering algorithm, called the Scaled Unscented Filter (SUF), is employed. The SUF can provide a superior alternative to nonlinear filtering than the conventional Extended Kalman Filter (EKF), since it avoids errors associated with linearization. This approach demonstrates both high accuracy in addition to prompt reactivity to changes in the network occupancy status. In particular, the proposed algorithm shows superior performance in non saturated conditions when compared to the EKF. Numerical results demonstrate that the proposed algorithm provides a more viable method for estimation of the number of competing stations in an IEEE 802.11 network, than estimators based on the EKF.
ER -