Document Type
Article
Publication Date
6-1-2009
Identifier/URL
40258389 (Pure); 70349636338 (QABO); 22454598 (PubMed); PMC3312458 (PubMedCentral)
Abstract
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.
Repository Citation
Qiu, R.,
Guo, N.,
Li, H.,
Wu, Z.,
Chakravarthy, V.,
Song, Y.,
Hu, Z.,
Zhang, P.,
& Chen, Z.
(2009). A Unified Multi-Functional Dynamic Spectrum Access Framework: Tutorial, Theory and Multi-GHz Wideband Testbed. Sensors, 9 (8), 6530-6603.
https://corescholar.libraries.wright.edu/ee/245
DOI
10.3390/s90806530

Comments
This work is licensed under CC BY 4.0