CAJ | 학술논문

应用证据理论(D-S方法)，解在多传感器条件下的数据融合问题。具体方法是根据多个传感器对目标类型判断的基本概率分配函数，不断添加新的传感器数据，更新信任函数和似然函数，最终判断目标类型。并且将D-S方法与其它数据融合方法(如Bayes方法)进行了比较，说明了D-S方法的优越性和先进性。
응용증거이론(D-S방법)，해재다전감기조건하적수거융합문제。구체방법시근거다개전감기대목표류형판단적기본개솔분배함수，불단첨가신적전감기수거，경신신임함수화사연함수，최종판단목표류형。병차장D-S방법여기타수거융합방법(여Bayes방법)진행료비교，설명료D-S방법적우월성화선진성。
How to use Dempster-Shafer (D-S) method to solve multi-sensor data fusion problems is analyzed in this paper. Based on basic probability assignment of target type decided by multiple sensors, new sensor data are added continually, and believe function and plausibility function are update, finally the destination of decision of target type is arrived. By comparing the D-S method with other data fusion methods (such as Bayes method), we can see that the D-S method is feasible and advanced.