A possibility association method of multi-sensor information fusion
LI Xiang-ting · Transducer and Microsystem Technologies · 2012
Because of the uncertainty of the measurement data of sensors,association accuracy rate of the traditional association method is not high.The possibility theory is introduced to express the uncertainty of measurement data,and reflect the compatibility degree between measuremental value and true value.An association model based on the possibility distribution is developed,then statistics distance of each feature component on measurements and targets is fuzzified.Expresses the fuzzy relation between measurements and targets quantitatively through possibility distribution,then association problem is converted to a multi-target decision issue.The simulation experiment verifies the effectiveness of the proposed method.