Method of multi-sensor data Association based on large scale

Abstract

In the multi-sensor fusion system, great difference of detection information accuracy results high uncertainty of heterogeneous information correlation. This paper proposes a multi-sensor data correlation method basing on large scale which combines evidence theory and multi-factor fuzzy integrated decision theory in information correlation. For solving the problem of uncertainty of information correlation and obtaining evidence difficultly, the method first combines uncertain information evidence, and then obtains evidence from multi-factor fuzzy integrated decision membership degree function. The test results that heterogeneous information correlation using this method can conquer uncertainty of evidence combination and reduce the error and miss correlation rate.