基于局部方差的MIMO频谱感知算法研究

贾琼; 李兵兵

doi:10.11999/JEIT141540

基于局部方差的MIMO频谱感知算法研究

doi: 10.11999/JEIT141540

贾琼¹,
李兵兵¹

基金项目:

国家自然科学基金(61271299)，博士后科学基金(2014M562372)和高等学校学科创新引智计划项目(B08038)

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- 被引次数: 0
出版历程
- 收稿日期: 2014-12-04
- 修回日期: 2015-02-09
- 刊出日期: 2015-07-19

MIMO Spectrum Sensing Method Based on the Local Variance

Jia Qiong¹,
Li Bing-bing¹

摘要

摘要: 在认知无线电网络中，高效且准确的频谱感知是必不可少的一个环节。该文主要研究了MIMO场景下的频谱感知问题。考虑到频谱被主用户占用和频谱空闲这两种场景下，认知用户各天线接收到信号之间的相关结构有差异，针对接收信号的采样协方差矩阵，提出了局部方差的概念，并在此基础上设计了基于局部方差的MIMO频谱感知方法。根据渐近分布理论，推导了所述方法的理论检测门限。最后，采用蒙特卡洛仿真方法，分别分析了AWGN信道和Rayleigh信道下该方法的检测性能，并与相关的感知算法进行了对比。结果表明：在相同的环境下，该文所提方法相比其他方法检测性能更高，且所需的采样点数更小，能够实现快速且精确的检测。
- 认知无线电 /
- 频谱感知 /
- 采样协方差矩阵 /
- 局部方差
Abstract: Efficient and accurate spectrum sensing is a necessary part in cognitive radio network. This paper focuses on the spectrum sensing in MIMO environment. Based on the fact that the correlation structure of the received signals is different between the cases of signal-presence and signal-absence, a new concept of local variance is presented and the test statistic is constructed by the local variance. The theoretical threshold is derived according to the asymptotic distribution theorem. Finally, the detection performance comparison with other methods in AWGN channel and Rayleigh channel are simulated respectively. The results show that the proposed method outperforms other algorithms and needs small sample numbers, thus it has higher sensing accuracy and efficiency.
- Cognitive radio /
- Spectrum sensing /
- Sample covariance matrix /
- Local variance

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参考文献(15)

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