• 移动互联与通信技术 •

### 基于能量有效性的贝叶斯压缩感知宽带频谱检测

1. (杭州电子科技大学通信工程学院,杭州 310018)
• 收稿日期:2015-01-26 出版日期:2016-03-15 发布日期:2016-03-15
• 作者简介:王赞(1990-),男,硕士研究生,主研方向为认知无线电网络、压缩感知;许晓荣(通讯作者)、姚英彪,副教授、博士后。
• 基金项目:

国家自然科学基金资助项目(61102066);浙江省自然科学基金资助项目(LY15F010008)。

### Bayesian Compressive Sensing Wideband Spectrum Detection Based on Energy Efficiency

WANG Zan,XU Xiaorong,YAO Yingbiao

1. (School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China)
• Received:2015-01-26 Online:2016-03-15 Published:2016-03-15

Abstract:

In Cognitive Radio Network(CRN),wideband spectrum detection based on Compressive Sensing(CS) only focuses on spectral efficiency.Energy efficiency is hardly considered in spectrum detection phase,which results in larger energy consumption with the improvement of spectrum detection performance.Hence,CRN wideband spectrum detection method based on Bayesian Compressive Sensing(BCS) sparse reconstruction with the guarantee of energy efficiency is proposed.Sensing energy analytical formula is derived and the corresponding energy consumption model is constructed.The minimization of sensing energy consumption can be achieved via the change of sample numbers in BCS measurement matrix,with the constraint conditions of wideband compressive spectrum detection probability and BCS reconstruction Mean Square Error(MSE) thresholds.Simulation result indicates that,when false alarm probability is 0.04,the detection probability of the proposed method outperforms sensing-energy tradeoff approach obviously in fewer sample numbers scenario.Moreover,when reconstruction MSE is lower than 15 dB,compared with Orthogonal Matching Pursuit(OMP) method,reconstruction energy consumption based on BCS can be reduced obviously.