Research on D-S Evidence Reasoning Improved Algorithm based on Data Association

نویسندگان

  • Xing Liu
  • Shoushan Jiang
چکیده

In order to make full use of detection information, improve the anti-interference ability of the system, solve the problem of target recognition in complex environment of multi-sensor correlation detection, this paper puts forward a information fusion method between data association and D-S evidential reasoning. It discussed the condition and the method of data association, on the basis of related information extraction, the assignment probability of multi-source sensors was revised, it also established the D-S evidential reasoning algorithm for target recognition based on data association.Through the establishment of model simulation, proved that the information fusion method between data association and D-S evidential reasoning evidence reasoning has higher reliability and recognition ability than the traditional evidential reasoning method, the results verify the correctness and effectiveness of this method.

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تاریخ انتشار 2013