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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

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83464

    Title: Reduced-complexity scheme using alpha-beta filtering for location tracking
    Authors: Yih-Shyh Chiou;Chin-Liang Wang;Sheng-Cheng Yeh
    教師: 王晉良
    Date: 2011
    Publisher: Institution of Engineering and Technology
    Relation: IET COMMUNICATIONS, Institution of Engineering and Technology, Volume 5, Issue 13, SEP 5 2011, Pages 1806-1813
    Keywords: FUTURE
    Abstract: 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.
    Relation Link: http://www.theiet.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83464
    Appears in Collections:[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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