Improved Estimation of the Number of Competing Stations Using Scaled Unscented Filter in an IEEE 802.11 Network

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概要

• 論文の詳細を見る

• 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.

• （社）電子情報通信学会の論文
• 2008-11-01

著者

• Kim Jang

  School Of Information And Communication Engineering Sungkyunkwan University

• Shin Dong

  School of Information and Communication Engineering Sungkyunkwan University

• Shin Ho

  School Of Information And Communication Engineering Sungkyunkwan University

• Shin Dong

  School Of Chemistry College Of Natural Sciences Seoul National University

• Kim Jang

  School of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Korea

• SHIN Dong

  School of Chemistry and Center for Molecular Catalysis, Seoul National University

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• Improved Estimation of the Number of Competing Stations Using Scaled Unscented Filter in an IEEE 802.11 Network
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