Spectrum sensing method based on sparse representation of maximum component
作者： Wu Shaochuan , Chen Yanping , Gao Yulong
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摘要: The invention provides a spectrum sensing method based on sparse representation of maximum component, and belongs to the technical field in cognitive radio. comprisesthe following steps: firstly, carrying out first iteration by adopting an OMP algorithm obtain sparsely represented square operation component test statistic; secondly, setting false alarm probability according requirements, calculating threshold set probability, finally comparing obtained statistics with result. According invention, defect low performance under condition signal-to-noise ratio practical application existing technology is solved. can be used for
lens.org 参考文章(3)
J. Nicholas Laneman, Zhanwei Sun, Method and apparatus for wideband spectrum sensing ,(2015)
Qi Lina, Yang Chao, Cooperative spectrum sensing method for heterogeneous wireless network based on second-order statistics ,(2018)
Li Zan, Du Yi, Wu Han, Yan Shaohu, Liu Shiqi, Wang Fan, Peng Jiarong, Guan Lei, Qi Peihan, Mao Wei'an, Hao Benjian, Shi Jia, Undersampled spectrum sensing method based on detection of residual correlation matrix ,(2019)