Differential evolution for target motion parameter estimation

Guohua Wei; Siliang Wu; Erke Mao

doi:10.1109/ICNNSP.2003.1279335

Differential evolution for target motion parameter estimation

Guohua Wei^*, Siliang Wu, Erke Mao

^*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

5 Citations (Scopus)

Abstract

A new method for target motion parameter estimation is presented in this paper. A new objective function is proposed to avoid phase unwrapping procedure in the original method. The proposed method is more robust and accurate than the original one because it does not introduce any extra errors. To find a global optimum value, DE algorithm with a modification for constrained optimization problem has been applied. The effectiveness of the proposed method is demonstrated by computer simulations.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	563-566
Number of pages	4
DOIs	https://doi.org/10.1109/ICNNSP.2003.1279335
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

Access to Document

10.1109/ICNNSP.2003.1279335

Cite this

Wei, G., Wu, S., & Mao, E. (2003). Differential evolution for target motion parameter estimation. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 563-566). Article 1279335 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1). https://doi.org/10.1109/ICNNSP.2003.1279335

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title = "Differential evolution for target motion parameter estimation",

abstract = "A new method for target motion parameter estimation is presented in this paper. A new objective function is proposed to avoid phase unwrapping procedure in the original method. The proposed method is more robust and accurate than the original one because it does not introduce any extra errors. To find a global optimum value, DE algorithm with a modification for constrained optimization problem has been applied. The effectiveness of the proposed method is demonstrated by computer simulations.",

author = "Guohua Wei and Siliang Wu and Erke Mao",

year = "2003",

doi = "10.1109/ICNNSP.2003.1279335",

language = "English",

isbn = "0780377028",

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

pages = "563--566",

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",

}

Wei, G , Wu, S & Mao, E 2003, Differential evolution for target motion parameter estimation. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1279335, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 1, pp. 563-566, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1279335

Differential evolution for target motion parameter estimation. / Wei, Guohua ; Wu, Siliang; Mao, Erke.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 563-566 1279335 (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

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AU - Mao, Erke

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AB - A new method for target motion parameter estimation is presented in this paper. A new objective function is proposed to avoid phase unwrapping procedure in the original method. The proposed method is more robust and accurate than the original one because it does not introduce any extra errors. To find a global optimum value, DE algorithm with a modification for constrained optimization problem has been applied. The effectiveness of the proposed method is demonstrated by computer simulations.

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ER -

Differential evolution for target motion parameter estimation

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