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

Sensors

Robert Qiu¹  Nan Guo¹  Husheng Li³  Zhiqiang Wu²  Vasu Chakravarthy¹  Yu Song¹  Zhen Hu¹  Peng Zhang¹ 

[1] Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, TN 38505, USA; E-Mails:;Department of Electrical Engineering, Wright State University, 3640 Colonel Glenn Highway, Dayton, OH 45435-0001, USA; E-Mail:;Department of Electrical Engineering and Computer Science, The University of Tennessee Knoxville, TN 37996-2100, USA; E-Mail:

关键词: cognitive radio;    testbed;    cognitive radar;   

DOI  :  10.3390/s90806530

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2009 by the authors; licensee MDPI, Basel, Switzerland