基于马尔科夫模型的认知无线电动态双门限能量检测策略

doi:10.11999/JEIT151400

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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.

Key words： Spectrum sensing Energy detection Markov model Dynamic double-threshold

Received: 14 December 2015 Published: 04 July 2016

PACS:

TN915

Fund:

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

Corresponding Authors: LIU Yulei E-mail: huapofeixue@sina.com

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	LIU Yulei
	LIANG Jun
	XIAO Nan
	HU Yulong
	HU Meng

Cite this article:

LIU Yulei,LIANG Jun,XIAO Nan等. Dynamic Double Threshold Energy Detection Based on Markov Model in Cognitive Radio[J]. JEIT, 2016, 38(10): 2590-2597.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT151400 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I10/2590

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