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      Qiu, R. et al. A Unified Multi-Functional Dynamic Spectrum Access Framework: Tutorial, Theory and Multi-GHz Wideband Testbed. Sensors 2009, 9, 6530–6603

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          Abstract

          We found that the affiliation of author Vasu Chakravarthy was incorrect in our paper published in Sensors recently [1]. Therefore Vasu Chakravarthy’s affiliation is corrected as follows: Air Force Research Lab Sensors Directorate, Wright-Patterson Air Force Base, Dayton, OH 45433, USA.

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          A Unified Multi-Functional Dynamic Spectrum Access Framework: Tutorial, Theory and Multi-GHz Wideband Testbed

          Dynamic spectrum access is a must-have ingredient for future sensors that are ideally cognitive. The goal of this paper is a tutorial treatment of wideband cognitive radio and radar—a convergence of (1) algorithms survey, (2) hardware platforms survey, (3) challenges for multi-function (radar/communications) multi-GHz front end, (4) compressed sensing for multi-GHz waveforms—revolutionary A/D, (5) machine learning for cognitive radio/radar, (6) quickest detection, and (7) overlay/underlay cognitive radio waveforms. One focus of this paper is to address the multi-GHz front end, which is the challenge for the next-generation cognitive sensors. The unifying theme of this paper is to spell out the convergence for cognitive radio, radar, and anti-jamming. Moore’s law drives the system functions into digital parts. From a system viewpoint, this paper gives the first comprehensive treatment for the functions and the challenges of this multi-function (wideband) system. This paper brings together the inter-disciplinary knowledge.
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            Author and article information

            Journal
            Sensors (Basel)
            Sensors (Basel, Switzerland)
            Molecular Diversity Preservation International (MDPI)
            1424-8220
            2009
            31 August 2009
            : 9
            : 9
            : 6835
            Affiliations
            [1 ] Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, TN 38505, USA; E-Mails: nguo@ 123456tntech.edu (N.G.); ysong21@ 123456tntech.edu (Y.S.); zhu21@ 123456tntech.edu (Z.H.); pzhang21@ 123456tntech.edu (P.Z.); zchen42@ 123456tntech.edu (Z.C.)
            [2 ] Department of Electrical Engineering and Computer Science, The University of Tennessee Knoxville, TN 37996-2100, USA; E-Mail: husheng@ 123456eecs.utk.edu
            [3 ] Department of Electrical Engineering, Wright State University, 3640 Colonel Glenn Highway, Dayton, OH 45435-0001, USA; E-Mail: zhiqiang.wu@ 123456wright.edu
            [4 ] Air Force Research Lab Sensors Directorate, Wright-Patterson Air Force Base, Dayton, OH 45433, USA; E-Mail: Vasu.Chakravarthy@ 123456wpafb.af.mil (V.C.)
            Author notes
            [] Author to whom correspondence should be addressed; E-Mail: rqiu@ 123456tntech.edu ; Tel.: +931-372-3847; Fax: +931-372-6345
            Article
            sensors-09-06835
            10.3390/s90906835
            3290494
            22423201
            777aa777-52bb-4fc7-9b1f-2f5d3bb12968
            © 2009 by the authors; licensee MDPI, Basel, Switzerland

            This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

            History
            : 31 August 2009
            Categories
            Correction

            Biomedical engineering
            Biomedical engineering

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