Parameter Estimation of Chirp Signals

Petar M. Djurić

doi:10.1109/29.61538

Parameter Estimation of Chirp Signals

Petar M. Djurić

Electrical Engineering

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

368 Scopus citations

Abstract

The problem of the parameter estimation of chirp signals is addressed. Several closely related estimators are proposed whose main characteristics are simplicity, accuracy, and ease of on-line or off-line implementation. For moderately high signal-to-noise ratios they are unbiased and attain the Cramer-Rao bound. Monte Carlo simulations verify the expected performance of the estimators.

Original language	English
Pages (from-to)	2118-2126
Number of pages	9
Journal	IEEE Transactions on Acoustics, Speech, and Signal Processing
Volume	38
Issue number	12
DOIs	https://doi.org/10.1109/29.61538
State	Published - Dec 1990

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abstract = "The problem of the parameter estimation of chirp signals is addressed. Several closely related estimators are proposed whose main characteristics are simplicity, accuracy, and ease of on-line or off-line implementation. For moderately high signal-to-noise ratios they are unbiased and attain the Cramer-Rao bound. Monte Carlo simulations verify the expected performance of the estimators.",

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AB - The problem of the parameter estimation of chirp signals is addressed. Several closely related estimators are proposed whose main characteristics are simplicity, accuracy, and ease of on-line or off-line implementation. For moderately high signal-to-noise ratios they are unbiased and attain the Cramer-Rao bound. Monte Carlo simulations verify the expected performance of the estimators.

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JO - IEEE Transactions on Acoustics, Speech, and Signal Processing

JF - IEEE Transactions on Acoustics, Speech, and Signal Processing

IS - 12

ER -

Parameter Estimation of Chirp Signals

Abstract

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