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

• Main Authors: Zhe Chen, Peng Zhang, Zhen Hu, Yu Song, Vasu Chakravarthy, Zhiqiang Wu, Husheng Li, Nan Guo, Robert Qiu
• Format: Article
• Language: English
• Published: MDPI AG 2009-08-01
• Series: Sensors
• Subjects: cognitive radio; testbed; cognitive radar
• Online Access: http://www.mdpi.com/1424-8220/9/8/6530/

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.