上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (07): 1099-1102.

• 无线电电子学、电信技术 • 上一篇    下一篇

基于压缩感知的联合协作频谱感知算法

江晓林1，2,顾学迈1,何晨3   

  1.  (1.哈尔滨工业大学 电子信息工程学院, 哈尔滨 150027;   2.黑龙江科技大学 电气与信息工程学院, 哈尔滨 150027; 3.上海交通大学 电子工程系, 上海  200240)
     
  • 收稿日期:2012-06-16 出版日期:2013-07-30 发布日期:2013-07-30
  • 基金资助:

    国家自然科学基金重点项目（60832009）,哈尔滨市科技局青年科技创新人才项目（21013RFQXJ107），黑龙江科技大学青年才俊培养项目

Joint Cooperation Spectrum Sensing Method  Based on Compression Sensing

JIANG Xiaolin1,2,GU Xuemai1,HE Chen3
  

  1. (1.School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150027, China;   2.School of Electrical and Information Engineering, Heilongjiang University of Science and Technology, Harbin 150027, China;3.Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
     
  • Received:2012-06-16 Online:2013-07-30 Published:2013-07-30

摘要：

基于压缩感知的联合协作频谱感知方法实现动态频谱感知，通过融合各次用户(SU)采集的感知数据，寻找超参数，并与判决门限值进行比较，以获得最终的频谱判决结果.基于压缩感知的联合协作频谱感知算法减少了单个SU对压缩感知数据的不确定性，归一化均方误差（MSE）性能较好，并且该算法能够有效利用SU压缩感知数据信息，与其他典型算法相比，能获得更高的正确检测概率和较小的虚警概率.
 
 

关键词: 压缩感知, 协作, 频谱感知

Abstract:

In this paper,  the dynamic spectrum sensing was achieved by jointing cooperation spectrum sensing based on compression sensing. The last result of spectrum decision was made by comparing the hyper-parameters obtained from the fusion of the sensing  data with the decision threshold. The proposed algorithm reduces the uncertainty of the compression sensing data obtained by a single SU, results in a better performance of the normalized MSE, and can effectively excavate the compression sensing data of SUs. Compared with other typical algorithms, it can obtain higher correct detection probability and smaller false-alarm probability.

Key words: compression sensing, cooperation, spectrum sensing

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