Results 31 to 40 of about 2,189,605 (128)
A wideband spectrum sensing approach based on sub-band matching selection
Dianxin kexue, 2016 Wideband spectrum sensing technology based on compressed sensing can effectively reduce the high sampling rate and the complexity of spectrum sensing.During the sensing process,in order to enhance the reconstruction performance of the spectrum signal,a ...
Yuzhi YAN +4 more
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Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio
Future Internet, 2019 In order to ease the conflict between the bandwidth demand of high-rate wireless communication and the shortage of spectrum resources, a wideband spectrum sensing method based on reconfigurable filter bank (RFB) with adjustable resolution is presented ...
Huan Wang +3 more
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Sensors, 2020 For wireless communication networks, cognitive radio (CR) can be used to obtain the available spectrum, and wideband compressed sensing plays a vital role in cognitive radio networks (CRNs).
Yuan Fang +4 more
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Wideband spectrum sensing based on advanced sub-Nyquist sampling structure
EURASIP Journal on Advances in Signal Processing, 2022 As the bandwidth increases, the high-speed sampling rate becomes the bottleneck for the development of wideband spectrum sensing. Wideband spectrum sensing with sub-Nyquist sampling attracts more attention and modulated wideband converter (MWC) is an ...
Xue Wang, Qian Chen, Min Jia, Xuemai Gu
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Sub-Nyquist Wideband Spectrum Sensing and Sharing [PDF]
, 2017 PhDThe rising popularity of wireless services resulting in spectrum shortage has motivated dynamic spectrum sharing to facilitate e cient usage of the underutilized spectrum.
Ma, Yuan
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A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum
Sensors, 2022 The vast majority of existing sub-Nyquist sampling wideband spectrum sensing (WSS) methods default to a sparse spectrum. However, research data suggests that in the near future, the wideband spectrum will no longer be sparse.
Shiyu Ren +4 more
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Dianxin kexue, 2016 Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum ...
Yuzhi YAN +3 more
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Reliable wideband multichannel spectrum sensing using randomized sampling schemes
, 2010 A wideband multichannel spectrum sensing approach that utilizes nonuniform sampling and digital alias-free signal processing (DASP) to reliably sense the spectrum using sampling rates well below the ones used in classical DSP is proposed.
Tarczynski, A. +3 more
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Cyclostationary Feature Detection Based on Compressed Sensing and Wavelet De-Noising
Dianxin kexue, 2015 To improve the vacant spectrum utilization，ultra-wideband spectrum sensing is critical for cognitive radio （CR）as it enables secondary users to dynamically access the unoccupied spectrum bands.However，the fast and accurate spectrum sensing is still a ...
Haifeng Tan +3 more
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Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning
International Journal of Distributed Sensor Networks, 2013 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 ...
Ning Cao, Xiaowen Hu, Hao Lu, Minghe Mao
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