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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Broadband Cooperative Spectrum Sensing Based on Distributed Modulated Wideband Converter [PDF]
Sensors, 2016 The modulated wideband converter (MWC) is a kind of sub-Nyquist sampling system which is developed from compressed sensing theory. It accomplishes highly accurate broadband sparse signal recovery by multichannel sub-Nyquist sampling sequences.
Ziyong Xu, Zhi Li, Jian Li
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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 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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An Effective Reconstruction Algorithm Based on Modulated Wideband Converter for Wideband Spectrum Sensing [PDF]
IEEE Access, 2020 In recent years, wideband spectrum sensing combined with sub-Nyquist sampling and compressed sensing technology in the field of cognitive radio has received widespread attention.
Jiai He, Wei Chen, Lu Jia, Tong Wang
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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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Pre-modulated multi-coset sampling system
Dianzi Jishu Yingyong, 2022 At present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction ...
Huang Zhen, Bai Zhengyao
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Expected RIP: Conditioning of The modulated wideband converter [PDF]
2009 IEEE Information Theory Workshop, 2009 The sensing matrix of a compressive system impacts the stability of the associated sparse recovery problem. In this paper, we study the sensing matrix of the modulated wideband converter, a recently proposed system for sub-Nyquist sampling of analog sparse signals.
Mishali, Moshe, Eldar, Yonina C.
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Quantization reference voltage of the Modulated Wideband Converter [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 4 pages, 4 ...
Wang, Yaming, Chen, Laming, Gu, Yuantao
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Sub-Nyquist processing with the modulated wideband converter [PDF]
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 Sub-Nyquist systems capture the signal information in a different fashion than uniform high-rate samples. Consequently, digital processing, which is the prime reason for leaving the analog domain, becomes challenging. We propose a digital algorithm that translates samples obtained by the modulated wideband converter, a recent sub-Nyquist system, to the
Moshe Mishali +2 more
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