hcofdm.pdf (645.41 kB)
Nonlinear equalization of Hammerstein OFDM systems
journal contribution
posted on 2017-06-30, 11:02 authored by Xia Hong, Sheng Chen, Yu GongYu Gong, Chris J. HarrisA practical orthogonal frequency-division multiplexing (OFDM) system can generally be modelled by the Hammerstein system that includes the nonlinear distortion effects of the high power amplifier (HPA) at transmitter. In this contribution, we advocate a novel nonlinear equalization scheme for OFDM Hammerstein systems. We model the nonlinear HPA, which represents the static nonlinearity of the OFDM Hammerstein channel, by a B-spline neural network, and we develop a highly effective alternating least squares algorithm for estimating the parameters of the OFDM Hammerstein channel, including channel impulse response coefficients and the parameters of the B-spline model. Moreover, we also use another B-spline neural network to model the inversion of the HPA's nonlinearity, and the parameters of this inverting B-spline model can easily be estimated using the standard least squares algorithm based on the pseudo training data obtained as a byproduct of the Hammerstein channel identification. Equalization of the OFDM Hammerstein channel can then be accomplished by the usual one-tap linear equalization as well as the inverse B-spline neural network model obtained. The effectiveness of our nonlinear equalization scheme for OFDM Hammerstein channels is demonstrated by simulation results.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Signal ProcessingVolume
62Issue
21Pages
5629 - 5639Citation
HONG, X. ... et al, 2014. Nonlinear equalization of Hammerstein OFDM systems. IEEE Transactions on Signal Processing, 62 (21), pp. 5629-5639.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publication date
2014Notes
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.ISSN
1053-587XeISSN
1941-0476Publisher version
Language
- en