Improvement of D-S evidential theory in multisensor data fusion system

In recent years, numerous multisensor data fusion systems have been developed for wide application. There are many algorithms in multisensor data fusion, D-S evidence theory is a useful method for dealing with uncertainty problems. This paper describes the main features of the evidential combination algorithm which is implemented in our research. It also gives improvement to the shortage of its combine rule and gives its new rule. Thus, we can combine high conflicted evidences with different weights, which have been calculated through different information included in the numerous evidences. The examples have been done to demonstrate the efficiency of the new combine rule, it can improve the reliability of the combination results.