A reconfigurable RF front-end receiver for autonomous spectrum sensing cognitive radios

Author(s):  
A. H. Ramadan ◽  
J. Costantine ◽  
Y. Tawk ◽  
K. Y. Kabalan ◽  
C. G. Christodoulou
2014 ◽  
Vol 2014 ◽  
pp. 1-20
Author(s):  
Bodhisatwa Sadhu ◽  
Martin Sturm ◽  
Brian M. Sadler ◽  
Ramesh Harjani

This paper explores passive switched capacitor based RF receiver front ends for spectrum sensing. Wideband spectrum sensors remain the most challenging block in the software defined radio hardware design. The use of passive switched capacitors provides a very low power signal conditioning front end that enables parallel digitization and software control and cognitive capabilities in the digital domain. In this paper, existing architectures are reviewed followed by a discussion of high speed passive switched capacitor designs. A passive analog FFT front end design is presented as an example analog conditioning circuit. Design methodology, modeling, and optimization techniques are outlined. Measurements are presented demonstrating a 5 GHz broadband front end that consumes only 4 mW power.


Author(s):  
Kari Stadius ◽  
Mikko Kaltiokallio ◽  
Jussi Ollikainen ◽  
Tuomas Parnanen ◽  
Ville Saari ◽  
...  

Author(s):  
Andreas Mayer ◽  
Linus Maurer ◽  
Gernot Hueber ◽  
Thomas Dellsperger ◽  
Thomas Christen ◽  
...  

Author(s):  
L. Safatly ◽  
A. H. Ramadan ◽  
M. Al-Husseini ◽  
Y. Nasser ◽  
K. Y. Kabalan ◽  
...  

In this chapter, the concepts of Cognitive Radio (CR) and multi-dimensional spectrum sensing are introduced. Spectrum sensing methodologies, energy efficiency consideration, resources scheduling, and self-management and learning mechanisms in cognitive radio networks are also discussed. The entailed challenges of CR RF front-end architectures are looked into. The synthesis and design performance analysis of a tunable RF front-end sensing receiver for CR applications are presented. The chapter also discusses how sensing performance degradation, which is due to RF impairments, is analytically evaluated. Spectrum sensing algorithms that correct imperfect RF issues by compensating induced error effects through digital baseband processing are also illustrated.


Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 1999 ◽  
Author(s):  
Lin Hu ◽  
Hong Ma ◽  
Hua Zhang ◽  
Wen Zhao

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