Modified Interval Dempster-Shafer Theory and its Application for Target Identification

Abstract:

To deal with the problem of target identification caused by the achieved reliability of multi sensors and the feature measurement uncertainty of the target, this paper proposes a new identification algorithm based on Modified Interval Dempster-Shafer Theory (MIDST), which models sensor’s reliability as scalar value and identification outputs of each sensor as interval values, and then combines the actual interval outputs through interval evidence combination rules. At last, one simulation is presented to demonstrate the identification capability of the MIDST algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 190-191)
• Pages: 1153-1156
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.190-191.1153
• Online since: July 2012
• Authors: Hai Jun Liu, Hong Shan Nie, Hong Qi Yu, Hong Hu Hua, Zheng Liu
• Keywords: Data Fusion, Dempster-Shafer Theory, Identification, Interval Value

References

[1] Dempster A P., Upper and Lower Probabilities Induced by a Multivalued Mapping,. The Annals of Statistics. 1967, 28: 325-329.

DOI: 10.1214/aoms/1177698950

[2] Shafer G., A Mathematical Theory of Evidence,. Princeton, NJ, Princeton University Press, (1976).

[3] Zhang L., Representation, independence, and combination of evidence in the Dempster-Shafer theory,. Advances in the Dempster-Shafer Theory of Evidence. 1994: 51-69.

DOI: 10.2172/800792

[4] Fixsen D, Mahler R P S., The Modified Dempster-Shafer Approach to Classification,. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Sytems and Humans. 1997, 27(1): 96-104.

DOI: 10.1109/3468.553228

[5] Delmotte F, Smets P., Target Identification Based on the Transferable Belief Model Interpretation of Dempster–Shafer Model,. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Sytems and Humans. 2004, 34(4): 457-471.

DOI: 10.1109/tsmca.2004.826266

[6] Liu H, Zhou Y, Xu B., Data Fusion Based on Electronic and SAR imagery Reconnaissance Information,. Proceedings of the 2008 IEEE International Conference on Information and Automation, Zhangjiajie, China, 2008: 1712-1716.

DOI: 10.1109/icinfa.2008.4608281

[7] Chang L W, Kashyap R L., Study of interval-valued belief combination with conflicting evidence,. Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, Nov. (1990).

DOI: 10.1109/tai.1990.130428

[8] Liu H, Wang B, Liu Z, Zhou Y. Data Fusion Based on Interval Dempster-Shafer Theory for Emitter Platform Identification[C]. International Conference on Information Engineering and Computer Science (ICIECS 2009), Wuhan, China, December, 2009, 5: 3063-3066.

DOI: 10.1109/iciecs.2009.5364227

[9] He Y., Wang G., Lu D., Peng Y., Multisensor Information Fusion with Applications,. Publishing House of Electronics Industry, China, 2000. 11.