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作者:

Xu, Lijia (Xu, Lijia.) | Chen, Yangzhou (Chen, Yangzhou.) (学者:陈阳舟) | Cui, Pingyuan (Cui, Pingyuan.)

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摘要:

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 it's 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.

关键词:

Algorithms Automation Intelligent control Probability Reliability Sensor data fusion

作者机构:

  • [ 1 ] [Xu, Lijia]Coll. of Electron. Info./Contr. Eng., Beijing University of Technology, Beijing 100022
  • [ 2 ] [Xu, Lijia]Coll. of Information and Technology, Sichuan Agriculture University, Yaan 100022
  • [ 3 ] [Chen, Yangzhou]Coll. of Electron. Info./Contr. Eng., Beijing University of Technology, Beijing 100022
  • [ 4 ] [Cui, Pingyuan]Coll. of Electron. Info./Contr. Eng., Beijing University of Technology, Beijing 100022

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年份: 2004

卷: 4

页码: 3124-3128

语种: 中文

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