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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Wideband spectrum sensing for cognitive radio networks: a survey [PDF]
IEEE Wireless Communications, 2013 17 pages, 4 figures, 2 tables.
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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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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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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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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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Wideband spectrum sensing based on modulated wideband converter with nested array [PDF]
IET Communications, 2021 Several spectrum sensing systems based on sub‐Nyquist sampling have been extensively studied to deal with difficulties of traditional wideband spectrum sensing in cognitive radio (CR) networks.
Qiuyue Li, Zhi Li, Jian Li
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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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