DocumentCode
251995
Title
Frequency-dependent power amplifier modeling and correction for distortion in wideband radar transmissions
Author
Dunn, Z. ; Yeary, Mark ; Fulton, Caleb
Author_Institution
Adv. Radar Res. Center, Univ. of Oklahoma, Norman, OK, USA
fYear
2014
fDate
3-6 Aug. 2014
Firstpage
61
Lastpage
64
Abstract
This paper presents initial results on utilizing the Volterra series, more specifically the Memory Polynomial model subset of the Volterra series, to model the power and frequency dependent non-linear distortion of a physical power amplifier. This modeling technique is also used to create the necessary digital predistortion so that, when used in series with the same modeled high power amplifier, the overall system acts solely as a linear function of input power within a given bandwidth. This amplifier modeling and associated digital predistortion are especially useful in wideband radar applications, where digital predistortion allows the amplifier to operate at its highest power added efficiency by operating in its compression region while still behaving linearly. As a result, wideband radar waveforms can be generated at high fidelity, maximizing transmission power with the given equipment while maintaining low range sidelobes. The results section of this paper reports preliminary findings.
Keywords
Volterra series; power amplifiers; radar applications; Volterra series; compression region; digital predistortion; frequency dependent nonlinear distortion; high power amplifier; linear function; memory polynomial model subset; modeling technique; physical power amplifier; power added efficiency; power dependent nonlinear distortion; wideband radar transmissions; Arrays; Calibration; Computational modeling; Delays; Predistortion; Radar; Radar antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
Conference_Location
College Station, TX
ISSN
1548-3746
Print_ISBN
978-1-4799-4134-6
Type
conf
DOI
10.1109/MWSCAS.2014.6908352
Filename
6908352
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