Presentation 2002/2/15
Compensating method for nonlinear distortion by using neural network in digital satellite broadcasting
Mitsugu OHKAWA, Ryuji KOHNO, Hiromitsu WAKANA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The transmission path in digital satellite broadcasting is characterized by a linear frequency dependence on the amplitude-frequency characteristics, group-delay-frequency characteristics, and AM/AM and AM/PM conversion effects due to traveling-wave tube amplifier (TWTA) nonlinearity. The AM/AM conversion effects result from the nonlinearity between the input and output amplitudes, while the AM/PM conversion effects result from the nonlinearity between the input amplitude and the output phase of the satellite transponder. We have developed a method for identifying and compensating for the linear frequency dependence and nonlinearity of a TWTA. This method combines an equalizer and a linearizer through the use of an adaptive algorithm. The linearizer is based on the neural-network concept. In our method, the reversal characteristics of the TWTA nonlinearity are identified, and the TWTA nonlinearity is compensated by using an error back-propagation algorithm based on a neural network. In this paper, we describe the development, features, and performance of our hybrid LMS-neural-network distortion-compensating method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) neural network / satellite broadcasting / linearizer / nonlinear distortion
Paper # SANE2001-134,SAT2001-156
Date of Issue

Conference Information
Committee SAT
Conference Date 2002/2/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Satellite Telecommunications (SAT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Compensating method for nonlinear distortion by using neural network in digital satellite broadcasting
Sub Title (in English)
Keyword(1) neural network
Keyword(2) satellite broadcasting
Keyword(3) linearizer
Keyword(4) nonlinear distortion
1st Author's Name Mitsugu OHKAWA
1st Author's Affiliation Kashima Space Research Center, Communications Research Laboratory()
2nd Author's Name Ryuji KOHNO
2nd Author's Affiliation Div. of Phys., Ele. and Comp. Eng., Graduate School of Eng., Yokohama National University
3rd Author's Name Hiromitsu WAKANA
3rd Author's Affiliation Wireless Communications Division, Communications Research Laboratory
Date 2002/2/15
Paper # SANE2001-134,SAT2001-156
Volume (vol) vol.101
Number (no) 655
Page pp.pp.-
#Pages 8
Date of Issue