Adaptive compressed spectrum sensing based on optimized measurement matrix

The estimation error of reconstruction by adaptive compressed sensing was derived, and the column vector autocorrelation of the observation matrix was reduced, and the impact of optimization process on compressed sensing re-construction algorithm was analyzed. Combining the observation matrix optimi...

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Main Authors: Wei-gang WANG, Zhen YANG, Bin GU, Hai-feng HU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.08.005/
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author Wei-gang WANG
Zhen YANG
Bin GU
Hai-feng HU
author_facet Wei-gang WANG
Zhen YANG
Bin GU
Hai-feng HU
author_sort Wei-gang WANG
collection DOAJ
description The estimation error of reconstruction by adaptive compressed sensing was derived, and the column vector autocorrelation of the observation matrix was reduced, and the impact of optimization process on compressed sensing re-construction algorithm was analyzed. Combining the observation matrix optimization and adaptive process, the spectrum sensing algorithm of optimized adaptive compression based on observation matrix was proposed. The simulation results show that the mean square error (MSE) of proposed algorithm is lower than traditional algorithm, and the probability of detection of proposed algorithm is higher on the same number of observations, and the required number of observations is fewer when achieving the same receiver operating performance (ROC).
format Article
id doaj-art-b9d915086a6d4f4f9e801abe54368f7e
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b9d915086a6d4f4f9e801abe54368f7e2025-01-14T07:25:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-08-0135333959683222Adaptive compressed spectrum sensing based on optimized measurement matrixWei-gang WANGZhen YANGBin GUHai-feng HUThe estimation error of reconstruction by adaptive compressed sensing was derived, and the column vector autocorrelation of the observation matrix was reduced, and the impact of optimization process on compressed sensing re-construction algorithm was analyzed. Combining the observation matrix optimization and adaptive process, the spectrum sensing algorithm of optimized adaptive compression based on observation matrix was proposed. The simulation results show that the mean square error (MSE) of proposed algorithm is lower than traditional algorithm, and the probability of detection of proposed algorithm is higher on the same number of observations, and the required number of observations is fewer when achieving the same receiver operating performance (ROC).http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.08.005/cognitive radiocompressed sensingspectrum detectionmeasurement matrix
spellingShingle Wei-gang WANG
Zhen YANG
Bin GU
Hai-feng HU
Adaptive compressed spectrum sensing based on optimized measurement matrix
Tongxin xuebao
cognitive radio
compressed sensing
spectrum detection
measurement matrix
title Adaptive compressed spectrum sensing based on optimized measurement matrix
title_full Adaptive compressed spectrum sensing based on optimized measurement matrix
title_fullStr Adaptive compressed spectrum sensing based on optimized measurement matrix
title_full_unstemmed Adaptive compressed spectrum sensing based on optimized measurement matrix
title_short Adaptive compressed spectrum sensing based on optimized measurement matrix
title_sort adaptive compressed spectrum sensing based on optimized measurement matrix
topic cognitive radio
compressed sensing
spectrum detection
measurement matrix
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.08.005/
work_keys_str_mv AT weigangwang adaptivecompressedspectrumsensingbasedonoptimizedmeasurementmatrix
AT zhenyang adaptivecompressedspectrumsensingbasedonoptimizedmeasurementmatrix
AT bingu adaptivecompressedspectrumsensingbasedonoptimizedmeasurementmatrix
AT haifenghu adaptivecompressedspectrumsensingbasedonoptimizedmeasurementmatrix