1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model

Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth. To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensi...

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Main Authors: Zhijin Zhao, Weikang Hu, Junwei Hu
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-09-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/thesisDetails#10.3969/j.issn.1000-0801.2014.09.015
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author Zhijin Zhao
Weikang Hu
Junwei Hu
author_facet Zhijin Zhao
Weikang Hu
Junwei Hu
author_sort Zhijin Zhao
collection DOAJ
description Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth. To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensing and distributed model was proposed. The sensing data of the nodes was compressive sampled and quantified in 1 bit, and then the data was fused in fusion node, through the mode of JSM-2. Finally the spectrum was reconstructed by the BIHT algorithm to implement spectrum sensing. Simulation results show that the proposed method has better spectrum detection performance with a few samples in low SNR, so it is a practical method of spectrum sensing.
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publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-c94c9610197a4f3cbb271c464e1fec1a2025-08-20T02:09:07ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-09-0130106110596196421 bit Compressive Spectrum Sensing Algoritbm Based on Distributed ModelZhijin ZhaoWeikang HuJunwei HuSince the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth. To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensing and distributed model was proposed. The sensing data of the nodes was compressive sampled and quantified in 1 bit, and then the data was fused in fusion node, through the mode of JSM-2. Finally the spectrum was reconstructed by the BIHT algorithm to implement spectrum sensing. Simulation results show that the proposed method has better spectrum detection performance with a few samples in low SNR, so it is a practical method of spectrum sensing.http://www.telecomsci.com/thesisDetails#10.3969/j.issn.1000-0801.2014.09.015compressed sensing;spectrum sensing;1 bit quantization
spellingShingle Zhijin Zhao
Weikang Hu
Junwei Hu
1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
Dianxin kexue
compressed sensing;spectrum sensing;1 bit quantization
title 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
title_full 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
title_fullStr 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
title_full_unstemmed 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
title_short 1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
title_sort 1 bit compressive spectrum sensing algoritbm based on distributed model
topic compressed sensing;spectrum sensing;1 bit quantization
url http://www.telecomsci.com/thesisDetails#10.3969/j.issn.1000-0801.2014.09.015
work_keys_str_mv AT zhijinzhao 1bitcompressivespectrumsensingalgoritbmbasedondistributedmodel
AT weikanghu 1bitcompressivespectrumsensingalgoritbmbasedondistributedmodel
AT junweihu 1bitcompressivespectrumsensingalgoritbmbasedondistributedmodel