A Cooperative Spectrum Sensing Algorithm Based on Fuzzy set and D-S Theory

摘要：

In real wireless environment each cognitive user(CU) has different wireless channel quality because of multi-path fading, shadow effect and obstacles. When the signal is seriously weakened, single CU cant distinguish between vacant band and deep fade band and probably makes a wrong decision, which results in the detection uncertainty of local spectrum sensing. In order to solve the uncertainty, cooperative spectrum sensing uses information fusion technology to improve the performance of spectrum sensing. D-S theory of evidence (D-S theory) is an effective way for uncertainty reasoning in information fusion field. But it hasnt a standard mode to assign credibility. In some research, fuzzy set theory effectively solves the problem of credibility assignment in electrical fault diagnoses and multi sensor target recognition. So we integrates fuzzy set theory with D-S theory of evidence to put forward a new algorithm for cooperative spectrum sensing, which uses bell-shaped membership function to assign credibility for local detection. Simulation results show that it solves the problem of single cognitive user detection distinctly and gets a better performance than most existing cooperative spectrum sensing algorithm.

关键词： cognitive radio cooperative spectrum sensing D-S theory of evidence fuzzy set theory

作者: Yong Han Yujian Li Qiang Chen Jianxin Wang

作者单位: School of Electronic Science and Engineering National University of Defense Technology Changsha, Chi Institute of China Electronic System Engineering Corporation Beijing, China Institute of China Electronic System Engineering Corporation Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 653-656

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）