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  5. Peak-to-average power ratio reduction of SFBC MIMO-OFDM signals using unused tones
 
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Peak-to-average power ratio reduction of SFBC MIMO-OFDM signals using unused tones

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Download 05441004_prepublishing version.pdf212.4 KB
Author(s)
Braz, Isabela 
Guan, Lei 
Zhu, Anding 
Brazil, Thomas J. 
Uri
http://hdl.handle.net/10197/12077
Date Issued
23 February 2010
Date Available
31T11:22:49Z March 2021
Abstract
Multiple input multiple output techniques combined with orthogonal frequency division multiplexing (MIMO-OFDM) provide a promising approach for wireless systems. However, a serious drawback of the OFDM system is the high peak-toaverage power ratio (PAPR), which may severely affect the power efficiency of RF power amplifiers. In this paper, we propose a simple method to reduce the PAPR of MIMO-OFDM signals based on the use of unused subcarriers. Instead of processing the signals at each transmitter separately, a peak cancelling signal is generated at one antenna and is then applied to all the others with only simple modifications. Simulation has shown that a minimum 2 dB reduction in PAPR can be achieved for all transmit signals using this approach. As the signal processing is nearly all done at a single transmitter, repetition of the operations at each transmitter is avoided, and therefore the overall cost of the system can be significantly reduced.
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Keywords
  • Clipping

  • Multiple Input Multip...

  • Orthogonal Frequency ...

  • Peak to Average Power...

  • Space Frequency Block...

DOI
10.1109/IMWS.2010.5441004
Web versions
http://imws2010.av.it.pt/
Language
English
Status of Item
Peer reviewed
Part of
2010 IEEE International Microwave Workshop Series on "RF Front-ends for Software Defined and Cognitive Radio Solutions", IMWS 2010 - Proceedings
Description
The 2010 IEEE International Microwave Workshop Series on RF Front-ends for Software Defined and Cognitive Radio Solutions (IMWS), Aveiro, Portugal, 22-23 February 2010
ISBN
9781424457533
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
3
Acquisition Date
Jan 25, 2023
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Views
323
Acquisition Date
Jan 26, 2023
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Downloads
95
Acquisition Date
Jan 26, 2023
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