By Topic

Challenges in Reconfigurable Radio Transceivers and Application of Nonlinear Signal Processing for RF Impairment Mitigation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhiwen Zhu ; Commun. Res. Centre Canada, Ottawa, ON, Canada ; Leung, H. ; Xinping Huang

The design of compact and reconfigurable radio transceivers with low power consumption and low cost is a challenging task in future wireless communications systems. Transceiver architectures that are amenable to high-level integration will inevitably suffer from various radio frequency (RF) impairments, which limits the communications system performance and hence hinders their wide-spread use in commercial products. In this paper, we present the mitigation of RF impairments as a system identification problem. Four major classes of RF impairments are presented: power amplifier (PA) nonlinearity, in-phase/ quadrature (I/Q) impairments, group delay distortion, and carrier frequency offset and phase noise. Their models and up-todate identification techniques are described here. In particular, various nonlinear signal processing techniques that are effective in mitigating these impairments are also presented here. Theoretical and experimental results show that these mitigation techniques can significantly improve the communications system performance.

Published in:

Circuits and Systems Magazine, IEEE  (Volume:13 ,  Issue: 1 )