Multisource information fusion method in evidence high-conflict environment

Abstract

The invention discloses a multisource information fusion method in an evidence high-conflict environment, which comprises the following steps of: determining the mutual support degree of evidences according to evidence distances, further calculating the relative discount factor of each evidence by taking a characteristic vector corresponding to the maximum characteristic value of a evidence support degree matrix pattern as a weighting vector of the evidence, wherein the evidence with the maximum weighing coefficient is a key evidence; and discounting each evidence information, and fusing the information of multisource sensor data by using the D-S (Dempster / Shafer) rule so as to increase the accuracy and precision of a monitoring proposition judgment under an evidence high-conflict status.The method can effectively eliminate the uncertainties of multisource information, increase the accuracy of information evaluation and overcome the limitation that correct evaluation results can not be acquired by using the traditional D-S evidence theory under the evidence high-conflict status, and has the advantages of simple algorithm, high convergence rate and the like.

Description

technical field [0001] The invention is an information fusion processing method for multi-source high-conflict sensor data based on evidence distance theory, and belongs to the technical field of information processing. Background technique [0002] Information fusion technology is an automatic information comprehensive processing technology developed in recent years. It processes information from different sensors to improve the quality and accuracy of information. There are many methods for data fusion, such as D-S evidence theory method, cluster analysis method, artificial neural network method, etc., and the technology related to the present invention is D-S evidence theory method. [0003] Multi-sensor information fusion can make full use of the complementary and redundant characteristics of multi-source information to improve the accuracy and precision of monitoring proposition judgment. Because sensors are affected by factors such as detection accuracy, device failur...

AI Technical Summary

Problems solved by technology

Although the D-S evidence theory has its own advantages, the direct application of the D-S evidence synthesis rules in the case of highly conflicting sensor information will produce unreasonable results. Therefore, it is of great significance to carry out research on high conflict sensor information fusion methods in complex environments.

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