Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis

In response to the challenge of the complex environment such as non-cooperative communication and wide-band electromagnetic spectrum regulation, where existing missing priori information, serious channel distortion and un-even color noise in frequency domain, a novel spectrum sensing algorithm based...

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Main Authors: Yang ZHANG, Hua PENG, Ke-xian GONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-02-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016046/
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author Yang ZHANG
Hua PENG
Ke-xian GONG
author_facet Yang ZHANG
Hua PENG
Ke-xian GONG
author_sort Yang ZHANG
collection DOAJ
description In response to the challenge of the complex environment such as non-cooperative communication and wide-band electromagnetic spectrum regulation, where existing missing priori information, serious channel distortion and un-even color noise in frequency domain, a novel spectrum sensing algorithm based on multi-scale power spectral density subband gradient(MPSG)was proposed. The proposed algorithm, not relying on any prior information, calculated gra-dients of sections for the power spectrum and detected the narrowband signals by adaptive double threshold, which im-proved the stability of wideband spectrum sensing through multi-scale technique. Theoretically expressions of statistical properties, false alarm probability, detection probability and decision threshold in different channels were deduced. The theoretical analysis and simulation results prove that the novel algorithm overcomes effectively the color noise with low computational complexity and strong real-time in Gaussian noise and fading channel, which can accomplish occupying band range localization of prime users. In addition, the proposed algorithm is robust for noise varia uncertainty, even in the low SNR environment.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2016-02-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-8d6c6407cf8e45e38d37c550db149c832025-01-14T06:54:56ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-02-013719119859699542Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysisYang ZHANGHua PENGKe-xian GONGIn response to the challenge of the complex environment such as non-cooperative communication and wide-band electromagnetic spectrum regulation, where existing missing priori information, serious channel distortion and un-even color noise in frequency domain, a novel spectrum sensing algorithm based on multi-scale power spectral density subband gradient(MPSG)was proposed. The proposed algorithm, not relying on any prior information, calculated gra-dients of sections for the power spectrum and detected the narrowband signals by adaptive double threshold, which im-proved the stability of wideband spectrum sensing through multi-scale technique. Theoretically expressions of statistical properties, false alarm probability, detection probability and decision threshold in different channels were deduced. The theoretical analysis and simulation results prove that the novel algorithm overcomes effectively the color noise with low computational complexity and strong real-time in Gaussian noise and fading channel, which can accomplish occupying band range localization of prime users. In addition, the proposed algorithm is robust for noise varia uncertainty, even in the low SNR environment.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016046/wideband spectrum sensingpower spectral density subbandmulti scalecolor noiseading channellow SNR
spellingShingle Yang ZHANG
Hua PENG
Ke-xian GONG
Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
Tongxin xuebao
wideband spectrum sensing
power spectral density subband
multi scale
color noise
ading channel
low SNR
title Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
title_full Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
title_fullStr Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
title_full_unstemmed Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
title_short Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
title_sort multi scale power spectral density subband gradient based spectrum sensing algorithm and performance analysis
topic wideband spectrum sensing
power spectral density subband
multi scale
color noise
ading channel
low SNR
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016046/
work_keys_str_mv AT yangzhang multiscalepowerspectraldensitysubbandgradientbasedspectrumsensingalgorithmandperformanceanalysis
AT huapeng multiscalepowerspectraldensitysubbandgradientbasedspectrumsensingalgorithmandperformanceanalysis
AT kexiangong multiscalepowerspectraldensitysubbandgradientbasedspectrumsensingalgorithmandperformanceanalysis