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A Wiener model for memory high power amplifiers using B-spline function approximation

A Wiener model for memory high power amplifiers using B-spline function approximation
A Wiener model for memory high power amplifiers using B-spline function approximation
In this paper we introduce a new Wiener system modeling approach for memory high power amplifiers in communicationsystems using observational input/output data. By assuming that the nonlinearity in the Wiener model is mainly dependent on the input signal amplitude, the complex valued nonlinear static function is represented by two real valued Bspline curves, one for the amplitude distortion and another for the phase shift, respectively. The Gauss-Newton algorithm is applied for the parameter estimation, which incorporates the De Boor algorithm, including both the B-spline curve and the first order derivatives recursion. An illustrative example is utilized to demonstrate the efficacy of the proposed approach.
5 pages
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Gong, Yu
afbb8cbf-2f34-4430-9647-a718c7b49bdc
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Gong, Yu
afbb8cbf-2f34-4430-9647-a718c7b49bdc
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Hong, Xia, Gong, Yu and Chen, Sheng (2011) A Wiener model for memory high power amplifiers using B-spline function approximation. IEEE 17th International Conference on Digital Signal Processing, Corfu, Greece. 05 - 08 Jul 2011. 5 pages .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we introduce a new Wiener system modeling approach for memory high power amplifiers in communicationsystems using observational input/output data. By assuming that the nonlinearity in the Wiener model is mainly dependent on the input signal amplitude, the complex valued nonlinear static function is represented by two real valued Bspline curves, one for the amplitude distortion and another for the phase shift, respectively. The Gauss-Newton algorithm is applied for the parameter estimation, which incorporates the De Boor algorithm, including both the B-spline curve and the first order derivatives recursion. An illustrative example is utilized to demonstrate the efficacy of the proposed approach.

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More information

Published date: July 2011
Additional Information: Event Dates: July 6-9, 2011
Venue - Dates: IEEE 17th International Conference on Digital Signal Processing, Corfu, Greece, 2011-07-05 - 2011-07-08
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 272568
URI: http://eprints.soton.ac.uk/id/eprint/272568
PURE UUID: e4b0b4b1-1c0c-44f9-bbe1-b91743150433

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Date deposited: 12 Jul 2011 17:02
Last modified: 06 Oct 2020 23:21

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