Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network

As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal cov...

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Main Authors: Yingxue Li, Jing Lei, Shiyuan Zhong, Chunming Huang, Chao Huang
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-11-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2015306
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author Yingxue Li
Jing Lei
Shiyuan Zhong
Chunming Huang
Chao Huang
author_facet Yingxue Li
Jing Lei
Shiyuan Zhong
Chunming Huang
Chao Huang
author_sort Yingxue Li
collection DOAJ
description As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal covariance matrix was presented,and a closed expression was derived for the probability of false alarm and threshold.The proposed method overcomes the noise uncertainty problem only with two cognitive relays and performs well without information about the channel,primary user and noise.Numerical simulations show that the new detector performs better than other detectors.
format Article
id doaj-art-925aedf08f0a42be97b5f3427123db80
institution OA Journals
issn 1000-0801
language zho
publishDate 2015-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-925aedf08f0a42be97b5f3427123db802025-08-20T02:09:13ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-11-01319810259613062Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio NetworkYingxue LiJing LeiShiyuan ZhongChunming HuangChao HuangAs the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal covariance matrix was presented,and a closed expression was derived for the probability of false alarm and threshold.The proposed method overcomes the noise uncertainty problem only with two cognitive relays and performs well without information about the channel,primary user and noise.Numerical simulations show that the new detector performs better than other detectors.http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2015306cognitive radio;blind detection;wishart distribution;Haar distribution;eigenvector;covariance matrix
spellingShingle Yingxue Li
Jing Lei
Shiyuan Zhong
Chunming Huang
Chao Huang
Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
Dianxin kexue
cognitive radio;blind detection;wishart distribution;Haar distribution;eigenvector;covariance matrix
title Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
title_full Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
title_fullStr Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
title_full_unstemmed Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
title_short Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
title_sort covariance blind detection method based on eigenvector in cognitive radio network
topic cognitive radio;blind detection;wishart distribution;Haar distribution;eigenvector;covariance matrix
url http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2015306
work_keys_str_mv AT yingxueli covarianceblinddetectionmethodbasedoneigenvectorincognitiveradionetwork
AT jinglei covarianceblinddetectionmethodbasedoneigenvectorincognitiveradionetwork
AT shiyuanzhong covarianceblinddetectionmethodbasedoneigenvectorincognitiveradionetwork
AT chunminghuang covarianceblinddetectionmethodbasedoneigenvectorincognitiveradionetwork
AT chaohuang covarianceblinddetectionmethodbasedoneigenvectorincognitiveradionetwork