Spectrum Sensing Method of Optimized D-S Evidence Theory

6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence

Yang, Xuemei^1 ; Wang, Qi^2 ; Xu, Jiapin^2

Jinjiang College Sichuan University, Meishan

620860, China^1

School of Electronics and Information Engineering, Sichuan University, Chengdu

610065, China^2

关键词: Basic probability assignment;    Co-operative spectrum sensing;    Conflicting evidence;    D S evidence theory;    Fusion center;    Spectrum sensing;    Uncertainty informations;    Weight coefficients;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/234/1/012109/pdf
DOI  :  10.1088/1755-1315/234/1/012109

来源: IOP

【 摘 要 】

In order to reduce the reporting data and the bandwidth cost effectively, reduce the impact on the performance from high conflicting evidences, the D-S evidence theory of cooperative spectrum sensing algorithm is optimized. The uncertainty information of the local perception basic probability assignment is assigned into the certainty in proportion, and the weighted sum evidence is calculated using the evidence reliability of every cognitive user as the weight coefficient, which reduce the reporting data sent to the fusion center, effectively reduce the bandwidth cost, and reduce the influence of high conflict evidences on the fusion results. The simulation results show that the method proposed has obvious effect on reducing the reported bandwidth and the impact by high conflicting evidences, and the algorithm is simple.