Blind and robust spectrum sensing based on RF impairments mitigation for cognitive radio receivers

2014 ◽  
Author(s):  
Lise Safatly ◽  
Ali El-Hajj ◽  
Karim Y. Kabalan
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Radio Receivers ◽  
Rf Impairments ◽  
Cognitive Radio Receivers

Tunable RF Front-Ends and Robust Sensing Algorithms for Cognitive Radio Receivers

2015 ◽  
pp. 68-99
Author(s):  
L. Safatly ◽  
A. H. Ramadan ◽  
M. Al-Husseini ◽  
Y. Nasser ◽  
K. Y. Kabalan ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Learning Mechanisms ◽  
Radio Receivers ◽  
Front End ◽  
Rf Front End ◽  
Rf Impairments ◽  
Cognitive Radio Receivers ◽  
Robust Sensing ◽  
Efficiency Consideration

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.

scholarly journals Multi-Dimensional Small-Scale Cooperative Spectrum Sensing Approach for Cognitive Radio Receivers

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hager Shawky Fouda ◽  
Ahmed Abd-Elnaby Kabeel ◽  
Mohamed El-Said Nasr ◽  
Amr Hussein Hussein
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Small Scale ◽  
Radio Receivers ◽  
Cognitive Radio Receivers

scholarly journals Mitigation of spectral leakage for single carrier, block-processing cognitive radio receivers

2018 ◽  
Vol 4 (2) ◽  
pp. 106-110 ◽  
Author(s):  
Adam C. Polak ◽  
Mark Wagner ◽  
Marco F. Duarte ◽  
Robert W. Jackson ◽  
Dennis L. Goeckel
Keyword(s):  
Cognitive Radio ◽  
Spectral Leakage ◽  
Block Processing ◽  
Radio Receivers ◽  
Single Carrier ◽  
Cognitive Radio Receivers

On Physical Layer Security of Correlated Multiantenna Cognitive Radio Receivers

2021 ◽  
Author(s):  
Brijesh Soni ◽  
Dhaval K. Patel ◽  
Sagar Kavaiya ◽  
Mazen O. Hasna ◽  
Miguel Lopez-Benitez
Keyword(s):  
Cognitive Radio ◽  
Physical Layer Security ◽  
Physical Layer ◽  
Radio Receivers ◽  
Cognitive Radio Receivers

Modeling and mitigation of nonlinear distortion in wideband A/D converters for cognitive radio receivers

2010 ◽  
Vol 2 (2) ◽  
pp. 183-192 ◽  
Author(s):  
Markus Allén ◽  
Jaakko Marttila ◽  
Mikko Valkama
Keyword(s):  
Cognitive Radio ◽  
Nonlinear Distortion ◽  
Dynamic Range ◽  
Digital Signal ◽  
Analog To Digital ◽  
Radio Receivers ◽  
Integral Nonlinearity ◽  
Cognitive Radio Receivers ◽  
Clipping Distortion ◽  
Wideband Radio

This article discusses the reduction of nonlinearities in analog-to-digital (A/D) converters using digital signal processing (DSP). Also modeling of certain essential nonlinearities is considered in detail. The main focus is on wideband radio receivers, such as the emerging cognitive radio applications, where a collection of signals at different frequency channels is converted to digital domain as a whole. Therefore, the overall dynamic range can easily be in the order of tens of dBs and thus even mild nonlinear distortion can cause strong carriers to block weaker signal bands. In this article, a mathematical model for clipping distortion due to improper input signal conditioning is derived through Fourier analysis. Additionally, stemming from the analysis an adaptive DSP-based post-processing method for reducing the effects of clipping and integral nonlinearity (INL) in A/D converters is presented with illustrative examples using both computer simulations and laboratory radio signal measurements.

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