Weight coefficients calculation for evidence sources and it's application in evidences fusion

Evidences fusion is an effective approach for improving target identification. In order to solve the unreasonable results generated by conflictive evidences, the assessment principle for weight coefficients of evidence sources was proposed. The evidence distance concept was introduced and a calculation method for weight coefficients of evidence sources was proposed according to the assessment principle for weight coefficients of evidence sources. Evidences from multiple sensors were modified and added with these weight coefficients. As a result, evidences conflict is dissolved and unreasonable results are avoided. For the purpose of efficiently utilizing the transcendent knowledge and accelerating target identification, two evidence-fusion schemes were designed and the fusion complexation was analyzed. Simulations were carried out to test the two evidence-fusion schemes, and the results verify the validity of the schemes in target identification.