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2012-10-31
Feature Aided Switching Model Set Approach for Maneuvering Target Tracking
By
Jianpeng Fan,

    Dr. Jianpeng Fan

    ATR Key Laboratory

    National University of Defense Technology

    China

    Homepage

Yilong Zhu,

    Dr. Yilong Zhu

    ATR Key Laboratory

    National University of Defense Technology

    China

    Homepage

Shijie Fan,

    Dr. Shijie Fan

    ATR Key Laboratory

    National University of Defense Technology

    China

    Homepage

Hongqi Fan,

    Dr. Hongqi Fan

    ATR Key Laboratory

    National University of Defense Technology

    P.R. China

    Homepage

Qiang Fu

    Dr. Qiang Fu

    National University of Defense Technology

    China

    Homepage

Progress In Electromagnetics Research B, Vol. 45, 251-268, 2012
doi:10.2528/PIERB12082803 | Google Scholar

Abstract
Feature aided maneuver detector is popular for its low detection delay and high detection probability in decision-based single-model maneuvering target tracking (MTT) algorithms. We propose a switching model-set approach based on the feature aided maneuver detector for MTT. The filtering error dynamics in terms of detection delay are presented and a upper bound for detection delay with given standard Kalman filtering errors is accessed. Subsequently, a feature aided maneuver detector is introduced to enhance detection performance, and the filtering algorithm is proposed, including detailed filtering steps and computational formulae. Simulation results show that the proposed algorithm outperforms the popular autonomous multiple model (AMM) and interacting MM (IMM) algorithms.
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Citation
Jianpeng Fan, Yilong Zhu, Shijie Fan, Hongqi Fan, and Qiang Fu, "Feature Aided Switching Model Set Approach for Maneuvering Target Tracking," Progress In Electromagnetics Research B, Vol. 45, 251-268, 2012.
doi:10.2528/PIERB12082803
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