MIMO Spectrum Sensing Method Based on the Local Variance

Jia Qiong; Li Bing-bing

doi:10.11999/JEIT141540

Volume 37 Issue 7

Jul. 2015

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Jia Qiong, Li Bing-bing. MIMO Spectrum Sensing Method Based on the Local Variance[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1525-1530. doi: 10.11999/JEIT141540

Citation:

Jia Qiong, Li Bing-bing. MIMO Spectrum Sensing Method Based on the Local Variance[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1525-1530. doi: 10.11999/JEIT141540

Jia Qiong, Li Bing-bing. MIMO Spectrum Sensing Method Based on the Local Variance[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1525-1530. doi: 10.11999/JEIT141540

Citation:

Jia Qiong, Li Bing-bing. MIMO Spectrum Sensing Method Based on the Local Variance[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1525-1530. doi: 10.11999/JEIT141540

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MIMO Spectrum Sensing Method Based on the Local Variance

doi: 10.11999/JEIT141540

Jia Qiong¹,
Li Bing-bing¹

Received Date: 2014-12-04
Rev Recd Date: 2015-02-09
Publish Date: 2015-07-19

Abstract

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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References(15)

References

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