东南大学学报（自然科学版）2016，Vol.46Issue(2)：231-236,6.DOI:10.3969/j.issn.1001-0505.2016.02.001
一种噪声未知的新型空间频谱分布协作感知算法
Novel cooperative sensing algorithm for spatial spectrum distribution with unknown noises
摘要
Abstract
In order to obtain the global information including occupied frequency bands, transmitting powers of the primary users ( PUs ) , locations and local noises, a model for the global power spectral density ( PSD) of the PUs is constructed, and a novel cooperative sensing algorithm for spatial spectrum distribution with unknown noises is also proposed.By utilizing variational Bayesian inference (VBI) theory, the model coefficient vector and the local noise vector are estimated to obtain the global information.The simulation results show that the proposed algorithm has high accuracy and convergence stability with the high signal noise ratio ( SNR) .Though the performance of this algorithm is worse than that of the algorithm with known noises, but its mean square error ( MSE ) performance is better than that of the algorithm based on the non-negativity least square ( NNLS) criterion.关键词
认知无线电/空间频谱分布/协作频谱感知/变分贝叶斯推断/稀疏性Key words
cognitive radio/spatial spectrum distribution/cooperative spectrum sensing/variational Bayesian inference/sparsity分类
电子信息工程引用本文复制引用
吴名,宋铁成,沈连丰,胡静..一种噪声未知的新型空间频谱分布协作感知算法[J].东南大学学报（自然科学版）,2016,46(2):231-236,6.基金项目
国家自然科学基金资助项目（61201248，61271207，61372104）． （）
