Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning

Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning

Dynamic spectrum management is a key technology in cognitive wireless sensor network (C-WSN), in which spectrum sensing plays an important role. In this paper, we propose an improved approach as sparse learning via iterative minimization based on compressive sampling (CS-SLIM) for wideband spectrum...

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Bibliographic Details
Main Authors: Ning Cao, Xiaowen Hu, Hao Lu, Minghe Mao
Format: Article
Language:English
Published: SAGE Publishing 2013-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/261953
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spelling doaj-ecd911f6efd44e9f976d3c8f137c82c22020-11-25T03:10:04ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-05-01910.1155/2013/261953Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse LearningNing CaoXiaowen HuHao LuMinghe MaoDynamic spectrum management is a key technology in cognitive wireless sensor network (C-WSN), in which spectrum sensing plays an important role. In this paper, we propose an improved approach as sparse learning via iterative minimization based on compressive sampling (CS-SLIM) for wideband spectrum detection. CS-SLIM can provide wideband spectrum detection with almost the same accuracy but a lower computational burden than that of SLIM. The measurement matrix and the computational complexity for CS-SLIM are discussed. Mean squared errors (MSEs) at various measurement samples are provided to demonstrate the performance of the proposed approach in sparse scenes. It is also proved that the algorithm is suitable for sparse signal reconstruction and wideband spectrum sensing in C-WSN.https://doi.org/10.1155/2013/261953
collection DOAJ
language English
format Article
sources DOAJ
author Ning Cao
Xiaowen Hu
Hao Lu
Minghe Mao
spellingShingle Ning Cao
Xiaowen Hu
Hao Lu
Minghe Mao
Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
International Journal of Distributed Sensor Networks
author_facet Ning Cao
Xiaowen Hu
Hao Lu
Minghe Mao
author_sort Ning Cao
title Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
title_short Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
title_full Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
title_fullStr Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
title_full_unstemmed Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
title_sort cooperative spectrum sensing algorithm based on cs-slim iterative minimization sparse learning
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2013-05-01
description Dynamic spectrum management is a key technology in cognitive wireless sensor network (C-WSN), in which spectrum sensing plays an important role. In this paper, we propose an improved approach as sparse learning via iterative minimization based on compressive sampling (CS-SLIM) for wideband spectrum detection. CS-SLIM can provide wideband spectrum detection with almost the same accuracy but a lower computational burden than that of SLIM. The measurement matrix and the computational complexity for CS-SLIM are discussed. Mean squared errors (MSEs) at various measurement samples are provided to demonstrate the performance of the proposed approach in sparse scenes. It is also proved that the algorithm is suitable for sparse signal reconstruction and wideband spectrum sensing in C-WSN.
url https://doi.org/10.1155/2013/261953
work_keys_str_mv AT ningcao cooperativespectrumsensingalgorithmbasedoncsslimiterativeminimizationsparselearning
AT xiaowenhu cooperativespectrumsensingalgorithmbasedoncsslimiterativeminimizationsparselearning
AT haolu cooperativespectrumsensingalgorithmbasedoncsslimiterativeminimizationsparselearning
AT minghemao cooperativespectrumsensingalgorithmbasedoncsslimiterativeminimizationsparselearning
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