Research on D-S evidence reasoning improved algorithm based on Data Association

Abstract

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.

DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3245