Wideband Spectrum Sensing Using Modulated Wideband Converter and Data Reduction Invariant Algorithms [PDF]
Sensors, 2023 Wideband spectrum sensing is a challenging problem in the framework of cognitive radio and spectrum surveillance, mainly because of the high sampling rates required by standard approaches.
Gilles Burel +3 more
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Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach [PDF]
Sensors, 2018 Sensing the wideband spectrum is an important process for next-generation wireless communication systems. Spectrum sensing primarily aims at detecting unused spectrum holes over wide frequency bands so that secondary users can use them to meet their ...
Youness Arjoune, Naima Kaabouch
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Design of a Single Channel Modulated Wideband Converter for Wideband Spectrum Sensing: Theory, Architecture and Hardware Implementation [PDF]
Sensors, 2017 In a cognitive radio sensor network (CRSN), wideband spectrum sensing devices which aims to effectively exploit temporarily vacant spectrum intervals as soon as possible are of great importance.
Weisong Liu +3 more
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Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform [PDF]
The Scientific World Journal, 2014 Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention.
Yulin Wang, Gengxin Zhang
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A Radio Frequency Region-of-Interest Convolutional Neural Network for Wideband Spectrum Sensing [PDF]
Sensors, 2023 Wideband spectrum sensing plays a crucial role in various wireless communication applications. Traditional methods, such as energy detection with thresholding, have limitations like detecting signals with low signal-to-noise ratio (SNR).
Adam Olesiński, Zbigniew Piotrowski
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A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing [PDF]
Sensors, 2019 With the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of ...
Yangyi Chen, Shaojing Su, Junyu Wei
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Bayesian Compressive Sensing Wideband Spectrum Detection Based on Energy Efficiency [PDF]
Jisuanji gongcheng, 2016 In Cognitive Radio Network(CRN),wideband spectrum detection based on Compressive Sensing(CS) only focuses on spectral efficiency.Energy efficiency is hardly considered in spectrum detection phase,which results in larger energy consumption with the ...
WANG Zan,XU Xiaorong,YAO Yingbiao
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Efficient Wideband Spectrum Sensing with Maximal Spectral Efficiency for LEO Mobile Satellite Systems [PDF]
Sensors, 2017 The usable satellite spectrum is becoming scarce due to static spectrum allocation policies. Cognitive radio approaches have already demonstrated their potential towards spectral efficiency for providing more spectrum access opportunities to secondary ...
Feilong Li +4 more
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IEEE Access, 2018 Wideband spectrum sensing is an important aspect of cognitive radio systems. In current models of wide spectrum sensing, a discrete frequency denotes a continuous frequency band. This type of model is divorced from practice and cannot reflect the reality
Yulong Gao, Yanping Chen, Yongkui Ma
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A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing [PDF]
Sensors, 2018 The sampling rate of wideband spectrum sensing for sparse signals can be reduced by sub-Nyquist sampling with a Modulated Wideband Converter (MWC). In collaborative spectrum sensing, the fusion center recovers the spectral support from observation and ...
Zhuhua Hu +4 more
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