Fuzzy logic applications in filtering and fusion for target tracking13; 13;

Kashyap, SK and Raol, JR (2008) Fuzzy logic applications in filtering and fusion for target tracking13; 13;. Defence Scientific Information amp; Documentation Centre, 58 (1). pp. 120-135.

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    A fuzzy Kalman filter algorithm is developed for target tracking applications and its performance evaluated using several numerical examples. The approach is relatively novel. A comparison with Kalman filter and an adaptive tuning algorithm is carried out. The applicability13; and usefulness of fuzzy logic in data fusion is also demonstrated. The performance of both the extended Kalman filter and fuzzy extended Kalman filter is evaluated using real data of a manoeuvering target and it is found that fuzzy extended Kalman filter shows better performance as compared to extended Kalman filter.

    Item Type: Journal Article
    Additional Information: Copyright for this article belongs to DESIDOC
    Uncontrolled Keywords: Target tracking;Extended Kalman filter;Adaptive tuning algorithm;Fuzzy logic;Data fusion;Fuzzy Kalman filter;Performance evaluation;State vector fusion
    Subjects: ENGINEERING > Electronics and Electrical Engineering
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Ms. Alphones Mary
    Date Deposited: 04 Feb 2009
    Last Modified: 17 Jun 2010 14:10
    URI: http://nal-ir.nal.res.in/id/eprint/4954

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