Polarization Information Based Spectrum Detection Algorithm for Cognitive Radio
In this paper, we propose a spectrum detection algorithm based on an orthogonal dual-polarized antenna for cognitive radio, called polarization spectrum detection. In the proposed algorithm，using polarization information from dual-polarization received antenna，the test statistic is derived according to likelihood ratio test criteria, and is compared with threshold to detect whether the primary user is present or not. The main new attractive feature of the proposed algorithm is that to work in the presence of unknown priori knowledge. The simulation results show that the proposed algorithm performance with priori knowledge is much better than energy detection，and is affected little by noise uncertainty with unknown priori knowledge.
dual-polarization antenna cognitive radio spectrum detection likelihood ratio test
Yu Deng Xuekang Sun Caili Guo
School of Network Education Beijing University of Posts and Telecommunications Beijing, China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts an
国际会议
北京
英文
155-159
2011-11-27（万方平台首次上网日期，不代表论文的发表时间）