National Tsing Hua University Institutional Repository:Reduced-complexity scheme using alpha-beta filtering for location tracking
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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Reduced-complexity scheme using alpha-beta filtering for location tracking


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    题名: Reduced-complexity scheme using alpha-beta filtering for location tracking
    作者: Yih-Shyh Chiou;Chin-Liang Wang;Sheng-Cheng Yeh
    教師: 王晉良
    日期: 2011
    出版者: Institution of Engineering and Technology
    關聯: IET COMMUNICATIONS, Institution of Engineering and Technology, Volume 5, Issue 13, SEP 5 2011, Pages 1806-1813
    关键词: FUTURE
    摘要: This study presents an efficient location tracking algorithm to reduce the computational complexity of the conventional Kalman filtering (KF) algorithm. In the proposed training and tracking scheme, the authors replace the decision mode of the KF algorithm with an alpha-beta (alpha-beta) algorithm to avoid repeatedly calculating the Kalman gain. After the mode with alpha-beta - tracking, the exact information of the state and measurement noise parameters used in the KF algorithm is not required. Using the inherent fixed-coefficient feature of alpha-beta filtering, the location information between the prediction phase and correction phase is efficiently cycled, thus simplifying implementation of the KF approach. Under a stationary environment, numerical simulations show that the proposed training and tracking approach not only can achieve the location accuracy close to the KF scheme but has much lower computational complexity.
    相関连結: http://www.theiet.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83464
    显示于类别:[電機工程學系] 期刊論文
    [通訊工程研究所] 期刊論文
    [電腦與通訊科技研發中心] 期刊論文

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