Results 61 to 70 of about 2,189,605 (128)
Wideband Spectrum Sensing in Cognitive Radio Networks
, 2008 Spectrum sensing is an essential enabling functionality for cognitive radio networks to detect spectrum holes and opportunistically use the under-utilized frequency bands without causing harmful interference to legacy networks.
Cui, S. +7 more
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Collaborative Compressive Spectrum Sensing using Iterative Attack Detection
工程科学与技术, 2013 :In wideband cognitive radio (CR) networks, spectrum sensing entails the technical challenges that high sampling rates are required for processing wideband signals, and the performance of spectrum sensing can be easily compromised by primary user ...
Li Han-Qing
doaj
Incorporating Primary Occupancy Patterns in Compressive Spectrum Sensing
IEEE Access, 2019 Wideband spectrum sensing remains one of the challenging problems facing the wide deployment of cognitive radio networks. Compressive sensing (CS) was proposed as a promising approach to this problem by utilizing the sparse structure of the underutilized
Omar M. Eltabie +2 more
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Adaptive Sub-Nyquist Spectrum Sensing for Ultra-Wideband Communication Systems
, 2019 With the ever-increasing demand for high-speed wireless data transmission, ultra-wideband spectrum sensing is critical to support the cognitive communication over an ultra-wide frequency band for ultra-wideband communication systems.
Xiaodong Wang, Shaohe Lv, Yong Lu
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Wideband Spectrum Sensing for Cognitive Radio with Multiple Antennas
, 2012 In this paper, we propose a novel wideband spectrum sensing scheme for the cognitive radio with multiple receive antennas. By employing the likelihood ratio test based on the observations in all subbands for sensing a subband in the wideband spectrum ...
Lee. W. +4 more
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Compressed correlation-matching for spectrum sensing in sparse wideband regimes
, 2011 In this paper, we consider a novel compressed correlation-matching (CCM) approach for spectrum sensing of wideband sparse signals. We derive a general closed-form estimate of the wideband sparse signal level from compressed observations, while providing
Vázquez Grau, Gregorio +8 more
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A Sparsity Adaptive Algorithm for Wideband Compressive Spectrum Sensing
Dianxin kexue, 2014 Traditional spectrum sensing based on compressed sensing assumes that the sparsity is known, in fact,it is unknown and time-varying. To solve the problem, a sparsity adaptive algorithm for wideband spectrum sensing was proposed.
Zhijin Zhao, Junwei Hu
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Recent Advances on Wideband Spectrum Sensing for Cognitive Radio
, 2014 Spectrum sensing plays a fundamental role in cognitive radio (CR) networks allowing to discover spectrum opportunities and enabling primary user (PU) protection.
Marco Chiani +5 more
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, 2002 Ultra-wideband (UWB) systems having a bandwidth on the order of gigahertz have recently received wide attention both in the U.S. and in Europe. The family of UWB systems may communicate either by generating ultra-wideband signals or with the aid of ...
Yang, L-L, Hanzo, L.
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A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios
, 2006 In cognitive radio networks, the first cognitive task preceding any form of dynamic spectrum management is the sensing and identification of spectrum holes in wireless environments.
Tian, Zhi +3 more
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