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  5. Digital Suppression of Transmitter Leakage in FDD RF Transceivers: Aliasing Elimination and Model Selection
 
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Digital Suppression of Transmitter Leakage in FDD RF Transceivers: Aliasing Elimination and Model Selection

File(s)
FileDescriptionSizeFormat
Download Wenhui_Sideband_TMTT.pdf6.15 MB
Author(s)
Cao, Wenhui 
Li, Yue 
Zhu, Anding 
Uri
http://hdl.handle.net/10197/10381
Date Issued
07 December 2017
Date Available
09T10:10:28Z May 2019
Abstract
The transmitter (TX)-induced interference due to power amplifier nonlinearities poses severe desensitization problems to the receiver chain in frequency-division duplexing transceivers. Due to nonlinear signal process involved, a high sampling rate is normally required in the existing digital suppression approaches, which can result in high cost and high power consumption in wideband systems. In this paper, a new digital suppression model is proposed to cancel the TX leakage at baseband with a low sampling rate. The cancellation model is based on the modified decomposed vector rotation model. With the addition of cross-Term products, the enhanced model is capable of eliminating the aliasing effect arising from the reduced sampling rate. Theoretical analysis of aliasing elimination is presented, and the algorithm is subsequently verified by both simulation and experiment results, confirming the effectiveness and feasibility of the proposed cancellation technique for TX leakage suppression. Compared with conventional solutions, the new approach uses much less hardware resource and consumes much lower power while achieving comparable performance.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Microwave Theory and Techniques
Volume
66
Issue
3
Start Page
1500
End Page
1511
Copyright (Published Version)
2017 IEEE
Keywords
  • Aliasing effect

  • Aliasing elimination

  • Behavioral model

  • Cross terms

  • Frequency-division du...

  • Leakage suppression

  • Low sampling rate

  • Transceiver

DOI
10.1109/TMTT.2017.2772789
Language
English
Status of Item
Peer reviewed
ISSN
0018-9480
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Electrical and Electronic Engineering Research Collection
Scopus© citations
6
Acquisition Date
Feb 5, 2023
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748
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