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Proceedings Paper

An improved evidence based cooperative spectrum sensing algorithm
Author(s): Chengzhi Jiang; Tingting Liu
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Paper Abstract

According to different credits among users in cooperative spectrum sensing, this paper proposes improved evidence based cooperative spectrum sensing algorithm. The proposed algorithm obtains the user credit through punishing users with incorrect decisions and rewarding users with correct decisions. The user credit is then used to calculate user weights that affect the final decision. The simulation results show that the proposed algorithm can effectively enhance the detection accuracy of cooperative spectrum sensing comparing to normal D-S algorithm.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784M (19 July 2013); doi: 10.1117/12.2031776
Show Author Affiliations
Chengzhi Jiang, State Grid Electric Power Research Institute (China)
Tingting Liu, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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