A novel sequential estimation algorithm for chirp signal parameters

Xinghao Zhao; Ran Tao; Siyong Zhou

doi:10.1109/ICNNSP.2003.1279353

A novel sequential estimation algorithm for chirp signal parameters

Xinghao Zhao^*, Ran Tao, Siyong Zhou

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy, Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as-9dB.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	628-631
Number of pages	4
DOIs	https://doi.org/10.1109/ICNNSP.2003.1279353
Publication status	Published - 2003
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

Name	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume	1

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

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10.1109/ICNNSP.2003.1279353

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Zhao, X., Tao, R., & Zhou, S. (2003). A novel sequential estimation algorithm for chirp signal parameters. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 628-631). Article 1279353 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1). https://doi.org/10.1109/ICNNSP.2003.1279353

@inproceedings{a6e555da4f274bf9a29f694877a6d472,

title = "A novel sequential estimation algorithm for chirp signal parameters",

abstract = "The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy, Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as-9dB.",

author = "Xinghao Zhao and Ran Tao and Siyong Zhou",

year = "2003",

doi = "10.1109/ICNNSP.2003.1279353",

language = "English",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "628--631",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Zhao, X, Tao, R & Zhou, S 2003, A novel sequential estimation algorithm for chirp signal parameters. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1279353, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 1, pp. 628-631, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1279353

A novel sequential estimation algorithm for chirp signal parameters. / Zhao, Xinghao; Tao, Ran; Zhou, Siyong.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 628-631 1279353 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A novel sequential estimation algorithm for chirp signal parameters

AU - Zhao, Xinghao

AU - Tao, Ran

AU - Zhou, Siyong

PY - 2003

Y1 - 2003

N2 - The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy, Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as-9dB.

AB - The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy, Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as-9dB.

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DO - 10.1109/ICNNSP.2003.1279353

M3 - Conference contribution

AN - SCOPUS:63449103889

SN - 0780377028

SN - 9780780377028

T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

SP - 628

EP - 631

BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Y2 - 14 December 2003 through 17 December 2003

ER -

A novel sequential estimation algorithm for chirp signal parameters

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