Dynamic Double Threshold Energy Detection Based on Markov Model in Cognitive Radio

LIU Yulei; LIANG Jun; XIAO Nan; HU Yulong; HU Meng

doi:10.11999/JEIT151400

Volume 38 Issue 10

Oct. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(10): 2590-2597

LIU Yulei, LIANG Jun, XIAO Nan, HU Yulong, HU Meng. Dynamic Double Threshold Energy Detection Based on Markov Model in Cognitive Radio[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2590-2597. doi: 10.11999/JEIT151400

Citation:

LIU Yulei, LIANG Jun, XIAO Nan, HU Yulong, HU Meng. Dynamic Double Threshold Energy Detection Based on Markov Model in Cognitive Radio[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2590-2597. doi: 10.11999/JEIT151400

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Dynamic Double Threshold Energy Detection Based on Markov Model in Cognitive Radio

doi: 10.11999/JEIT151400

Funds:

The National Natural Science Foundation of China (61501496), The Natural Science Foundation of Shaanxi Province (2012JM8004), The Aeronautical Science Foundation of China (2013ZC15008)

Received Date: 2015-12-14
Rev Recd Date: 2016-05-16
Publish Date: 2016-10-19

Abstract

Abstract

With the development of the technology of cognitive radio, the standards of spectrum sensing performance become the higher and the higher, especially in low Signal-to-Noise Ratio (SNR) environments. A Dynamic Double-threshold Energy sensing method based on Markov Model (DDEMM) is proposed in this paper. By following the double-threshold energy sensing approach, the modified Markov model that accounts for the time varying nature of the channel occupancy is presented to resolve the confused channel state. Furthermore, in order to overcome the effect of noise uncertainty, a dynamic double-threshold spectrum sensing method is proposed, which adjusts its thresholds according to the achievable maximal detection probability. The results of extensive simulation demonstrate that the proposed DDEMM can achieve better detection performance than the conventional double-threshold energy sensing schemes, especially under very low SNR region.
- Spectrum sensing,
- Energy detection,
- Markov model,
- Dynamic double-threshold

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References(20)

References

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