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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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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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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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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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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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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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 Robust Method Based on Deep Learning for Compressive Spectrum Sensing [PDF]
SensorsIn cognitive radio, compressive spectrum sensing (CSS) is critical for efficient wideband spectrum sensing (WSS). However, traditional reconstruction algorithms exhibit suboptimal performance, and conventional WSS methods fail to fully capture the ...
Haoye Zeng +3 more
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Wideband Spectrum Sensing Based on Riemannian Distance for Cognitive Radio Networks [PDF]
Sensors, 2017 Fan Liu
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