Asynchronous perception algorithm based on energy detection

In the future heterogeneous wireless networks,since primary user (PU) and cognitive secondary user (SU) are not coordinated to be synchronous,it will result in sense timing difference between PU’s transmitter and SU’s receiver.For this asynchronous sense case,a new asynchronous sensing algorithm bas...

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Main Authors: Pan YU, Bin LI, Cheng-lin ZHAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017039
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author Pan YU
Bin LI
Cheng-lin ZHAO
author_facet Pan YU
Bin LI
Cheng-lin ZHAO
author_sort Pan YU
collection DOAJ
description In the future heterogeneous wireless networks,since primary user (PU) and cognitive secondary user (SU) are not coordinated to be synchronous,it will result in sense timing difference between PU’s transmitter and SU’s receiver.For this asynchronous sense case,a new asynchronous sensing algorithm based on Bayesian estimation theory was proposed.A unified dynamic state space model was first proposed to describe the observable energy relationship with dynamic PU state and unknown timing difference.Then,an iterative estimation scheme was designed using stochastic finite set and the rules of maximum posterior probability.Finally,approximated estimation results were obtained by using a particle filter.The simulation results show that the proposed asynchronous scheme significantly eliminates the uncertainty of the received signal information and thus improves the spectrum sensing performance by obtaining the time difference accurately.
format Article
id doaj-art-c0c7b4e568fd4429af55fbb89e168b05
institution OA Journals
issn 1000-436X
language zho
publishDate 2017-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-c0c7b4e568fd4429af55fbb89e168b052025-08-20T02:09:31ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-03-013816517359708818Asynchronous perception algorithm based on energy detectionPan YUBin LICheng-lin ZHAOIn the future heterogeneous wireless networks,since primary user (PU) and cognitive secondary user (SU) are not coordinated to be synchronous,it will result in sense timing difference between PU’s transmitter and SU’s receiver.For this asynchronous sense case,a new asynchronous sensing algorithm based on Bayesian estimation theory was proposed.A unified dynamic state space model was first proposed to describe the observable energy relationship with dynamic PU state and unknown timing difference.Then,an iterative estimation scheme was designed using stochastic finite set and the rules of maximum posterior probability.Finally,approximated estimation results were obtained by using a particle filter.The simulation results show that the proposed asynchronous scheme significantly eliminates the uncertainty of the received signal information and thus improves the spectrum sensing performance by obtaining the time difference accurately.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017039spectrum sensing;asynchronous perception;dynamic state-space model;maximum posterior probabilityjoint estimation
spellingShingle Pan YU
Bin LI
Cheng-lin ZHAO
Asynchronous perception algorithm based on energy detection
Tongxin xuebao
spectrum sensing;asynchronous perception;dynamic state-space model;maximum posterior probability
joint estimation
title Asynchronous perception algorithm based on energy detection
title_full Asynchronous perception algorithm based on energy detection
title_fullStr Asynchronous perception algorithm based on energy detection
title_full_unstemmed Asynchronous perception algorithm based on energy detection
title_short Asynchronous perception algorithm based on energy detection
title_sort asynchronous perception algorithm based on energy detection
topic spectrum sensing;asynchronous perception;dynamic state-space model;maximum posterior probability
joint estimation
url http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017039
work_keys_str_mv AT panyu asynchronousperceptionalgorithmbasedonenergydetection
AT binli asynchronousperceptionalgorithmbasedonenergydetection
AT chenglinzhao asynchronousperceptionalgorithmbasedonenergydetection