A Joint Spectral Detection Algorithm with Low Complexity in Cognitive Radio

doi:10.13190/jbupt.201302.89.liyx

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (2): 89-92.doi: 10.13190/jbupt.201302.89.liyx

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A Joint Spectral Detection Algorithm with Low Complexity in Cognitive Radio

LI Ying-xue¹, SHEN Shu-qun¹, YUAN Chao-wei², WANG Qiu-cai²

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;<br>2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2012-07-06 Revised:2012-09-10 Online:2013-04-30 Published:2013-03-25

Abstract

Abstract:

For the problem of energy detections inability of weak signals and the likelihood ratio test (LRT)s high computational complexity in cognitive radio, the LRT algorithm is simplified under low signal-to-noise ratio (SNR) and its performance parameters are calculated. A spectrum joint detection algorithm is presented based on the simplified LRT, in which the energy detector and the simplified LRT under low SNR are used. Simulation shows that the algorithm detects the primary user signal effectively under low SNR condition, and performs close performance with lower complexity than that of the well-known LRT.

Key words: cognitive radio, likelihood ratio test, joint spectral detection, energy detection

CLC Number:

TN929.53

LI Ying-xue, SHEN Shu-qun, YUAN Chao-wei, WANG Qiu-cai. A Joint Spectral Detection Algorithm with Low Complexity in Cognitive Radio[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(2): 89-92.

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A Joint Spectral Detection Algorithm with Low Complexity in Cognitive Radio

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