Improved estimation of hyperbolic frequency modulated chirp signals

Olivier Besson; Georgios B. Giannakis; Fulvio Gini

doi:10.1109/78.757226

Improved estimation of hyperbolic frequency modulated chirp signals

Olivier Besson, Georgios B. Giannakis, Fulvio Gini

Electrical and Computer Engineering

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

21 Scopus citations

Abstract

This correspondence deals with parameter estimation of product signals consisting of hyperbolic FM and chirp factors. A computationally simple algorithm that decouples estimation of the chirp parameters from those of the hyperbolic FM part is presented. It relies on a simple data transformation that removes the hyperbolic FM component, leaving one with the simpler problem of estimating chirp parameters. For the latter, the high-order ambiguity function (HAF) is adopted. Schemes for estimating the hyperbolic FM parameter are also proposed. The method improves on existing approaches and is shown to provide performance close to the Cramer-Rao bound.

Original language	English (US)
Pages (from-to)	1384-1388
Number of pages	5
Journal	IEEE Transactions on Signal Processing
Volume	47
Issue number	5
DOIs	https://doi.org/10.1109/78.757226
State	Published - 1999

Bibliographical note

Funding Information:
Manuscript received January 27, 1998; revised October 14, 1998. This work was supported in part by the Office of Naval Research under Grant N00014-93-1-0485. The associate editor coordinating the review of this paper and approving it for publication was Prof. Chi Chung Ko.

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abstract = "This correspondence deals with parameter estimation of product signals consisting of hyperbolic FM and chirp factors. A computationally simple algorithm that decouples estimation of the chirp parameters from those of the hyperbolic FM part is presented. It relies on a simple data transformation that removes the hyperbolic FM component, leaving one with the simpler problem of estimating chirp parameters. For the latter, the high-order ambiguity function (HAF) is adopted. Schemes for estimating the hyperbolic FM parameter are also proposed. The method improves on existing approaches and is shown to provide performance close to the Cramer-Rao bound.",

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note = "Funding Information: Manuscript received January 27, 1998; revised October 14, 1998. This work was supported in part by the Office of Naval Research under Grant N00014-93-1-0485. The associate editor coordinating the review of this paper and approving it for publication was Prof. Chi Chung Ko.",

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T1 - Improved estimation of hyperbolic frequency modulated chirp signals

AU - Besson, Olivier

AU - Giannakis, Georgios B.

AU - Gini, Fulvio

N1 - Funding Information: Manuscript received January 27, 1998; revised October 14, 1998. This work was supported in part by the Office of Naval Research under Grant N00014-93-1-0485. The associate editor coordinating the review of this paper and approving it for publication was Prof. Chi Chung Ko.

PY - 1999

Y1 - 1999

N2 - This correspondence deals with parameter estimation of product signals consisting of hyperbolic FM and chirp factors. A computationally simple algorithm that decouples estimation of the chirp parameters from those of the hyperbolic FM part is presented. It relies on a simple data transformation that removes the hyperbolic FM component, leaving one with the simpler problem of estimating chirp parameters. For the latter, the high-order ambiguity function (HAF) is adopted. Schemes for estimating the hyperbolic FM parameter are also proposed. The method improves on existing approaches and is shown to provide performance close to the Cramer-Rao bound.

AB - This correspondence deals with parameter estimation of product signals consisting of hyperbolic FM and chirp factors. A computationally simple algorithm that decouples estimation of the chirp parameters from those of the hyperbolic FM part is presented. It relies on a simple data transformation that removes the hyperbolic FM component, leaving one with the simpler problem of estimating chirp parameters. For the latter, the high-order ambiguity function (HAF) is adopted. Schemes for estimating the hyperbolic FM parameter are also proposed. The method improves on existing approaches and is shown to provide performance close to the Cramer-Rao bound.

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Improved estimation of hyperbolic frequency modulated chirp signals

Abstract

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