| 摘要: |
| 为了解决在认知无线电(CR)宽带系统中快速精确分析数据并实现频谱感知的技术难题，对非重构压缩频谱检测进行了研究。提出了一种利用压缩测量值的非重构宽带频谱感知算法，推导分析了虚警概率和检测概率的封闭表达式。该算法利用离散余弦变换（DCT）矩阵的能量压缩特性观测得到主用户能量压缩信息，并利用新型压缩检测器对压缩信息进行判决。仿真表明，所提算法降低了计算复杂度，提供了比传统的能量检测器和压缩检测器更好的工作特性。 |
| 关键词: 认知无线电 压缩感知 宽带频谱感知 离散余弦变换矩阵 |
| DOI： |
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| 基金项目: |
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| Compressed measurements based non-reconstructed wideband spectrum sensing |
| YU Yongle,ZHANG Zhengbao,GUO Chao |
| () |
| Abstract: |
| In order to solve the problem of analyzing spectrum data rapidly and accurately in cognitive radio(CR) wideband systems,the non-reconstructed compressed spectrum sensing is studied. The compressed measurements based non-reconstructed wideband spectrum sensing algorithm is proposed,and the closed expressions of false alarm probability and detection probability are derived and analyzed. This algorithm uses the discrete cosine transform (DCT) matrix to observe the compressed energy information of prime user,and uses the novel compressed detector to judge the information. Simulation results show that the algorithm reduces the computational complexity,and provides better working characteristics than the conventional energy detector and compressed detector. |
| Key words: cognitive radio(CR) compressed sensing（CS） wideband spectrum sensing discrete cosine transform (DCT) matrix |
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