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Abstract
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Article Information:
An Improved Optimal Measurement Data Correlation Algorithm Based on Multi-Source Information
Zhaofeng Su, Yifan Wang, Yuanyuan Duan and Li Zhou
Corresponding Author: Zhaofeng Su
Submitted: May 16, 2013
Accepted: June 11, 2013
Published: February 20, 2014 |
Abstract:
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An improved optimal 3-Dimensional (3-D) assignment algorithm based on Multi-source Information (IMFOA) is proposed. The algorithm firstly gets the correlation degree between multi-source measurements of single-sensor and target track through fusing multi-source information by using grey relational analysis algorithm and then a 3-D assignment model based on multi-source information fusion can be got. Further, an improved point-track optimal assignment algorithm is used to complete point-track correlations. In comparison with the Optimal 3-D Assignment (OA) algorithm based on dynamic information and the Improved Optimal Assignment (IOA) algorithm which implements point-track correlation through using marginal correlation probability on the basis of OA algorithm, IMFOA algorithm improves the tracking accuracy of multi-target in varying degrees under different detection scenarios and is an optimal measurement data correlation algorithm with stronger anti-interference.
Key words: Data correlation, grey relational analysis algorithm, multi-source information, , , ,
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Cite this Reference:
Zhaofeng Su, Yifan Wang, Yuanyuan Duan and Li Zhou, . An Improved Optimal Measurement Data Correlation Algorithm Based on Multi-Source Information. Research Journal of Applied Sciences, Engineering and Technology, (7): 1432-1437.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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