Title: Novel Data Fusion Method Using Dempster-Shafer Theory
Abstract: In order to improve the robustness of the multi-sensor data fusion system, a novel data fusion algorithm is proposed based on Dempster-Shafer theory. Firstly the accuracy of the measured data are obtained according to relative distance between data, then the appropriate weight assignment method is proposed inspired by basic probability assignment, thirdly evidence combination rule is applied to adjust the weight of the data obtained before, finally the fusion result is obtained by weighted summation. Good performance of the proposed algorithm is demonstrated by numerical examples.
Publication Year: 2012
Publication Date: 2012-04-06
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot