DocumentCode :
613751
Title :
Estimation for amplify-and-forward transmissions with nonlinear amplifiers
Author :
Santucci, Robert ; Banavar, Mahesh ; Spanias, A. ; Tepedelenlioglu, Cihan
Author_Institution :
SenSIP Center, Arizona State Univ., Tempe, AZ, USA
fYear :
2013
fDate :
25-25 Jan. 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes the development of a distributed estimation algorithm for amplify-and-forward sensor transmissions with realistic nonlinear amplifier models at the sensors. Specifically, an algorithm is developed that enables distributed estimation with amplifiers operating in the non-linear class AB region. In this system, a digital predistortion scheme is utilized to fit an amplifier to a mathematically tractable, known nonlinearity that is close to the compression characteristics of the amplifier. We show using this scheme has two benefits over linear amplifier operation: improved transmitter efficiency and reduced sensitivity to heavy-tailed distributions due to the soft saturation. The amplifier characteristics and predistortion methods are presented as part of the Java-DSP software package.
Keywords :
amplify and forward communication; estimation theory; nonlinear distortion; power amplifiers; radiofrequency amplifiers; Java-DSP software package; amplifier characteristics; amplify-and-forward sensor transmissions; compression characteristics; digital predistortion scheme; distributed estimation algorithm; heavy-tailed distributions; linear amplifier operation; nonlinear amplifier models; nonlinear class AB region; predistortion method; radio-frequency power amplifier; sensitivity reduction; soft saturation; transmitter efficiency improvement;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Signal Processing (CIWSP 2013), 2013 Constantinides International Workshop on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-733-5
Type :
conf
DOI :
10.1049/ic.2013.0021
Filename :
6550175
Link To Document :
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