A log-frequency approach to the identification of the Wiener-Hammerstein model

Joel Goodman; Matthew Herman; Bradley Bond; Benjamin A.  Miller

doi:10.1109/LSP.2009.2026460

A log-frequency approach to the identification of the Wiener-Hammerstein model

Joel Goodman, Matthew Herman, Bradley Bond, Benjamin A. Miller

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper we present a simple closed-form solution to the Wiener-Hammerstein (W-H) identification problem. The identification process occurs in the log-frequency domain where magnitudes and phases are separable. We show that the theoretically optimal W-H identification is unique up to an amplitude, phase and delay ambiguity, and that the nonlinearity enables the separate identification of the individual linear time invariant (LTI) components in a W-H architecture.

Original language	English
Article number	2026460
Pages (from-to)	889-892
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	10
DOIs	https://doi.org/10.1109/LSP.2009.2026460
State	Published - 2009
Externally published	Yes

Bibliographical note

Funding Information:
Manuscript received April 13, 2009; revised June 20, 2009. First published June 30, 2009; current version published July 29, 2009. This work was supported by Air Force Contract FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the United States Government. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Kenneth E. Barner.

Keywords

Log-frequency
Nonlinear system identification
Power amplifier modeling
Predistortion
Wiener-Hammerstein system

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/LSP.2009.2026460

Cite this

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abstract = "In this paper we present a simple closed-form solution to the Wiener-Hammerstein (W-H) identification problem. The identification process occurs in the log-frequency domain where magnitudes and phases are separable. We show that the theoretically optimal W-H identification is unique up to an amplitude, phase and delay ambiguity, and that the nonlinearity enables the separate identification of the individual linear time invariant (LTI) components in a W-H architecture.",

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AB - In this paper we present a simple closed-form solution to the Wiener-Hammerstein (W-H) identification problem. The identification process occurs in the log-frequency domain where magnitudes and phases are separable. We show that the theoretically optimal W-H identification is unique up to an amplitude, phase and delay ambiguity, and that the nonlinearity enables the separate identification of the individual linear time invariant (LTI) components in a W-H architecture.

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A log-frequency approach to the identification of the Wiener-Hammerstein model

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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