Target detection accuracy improvement in synthetic aperture radar

S. Kargin; M. Kartal; S. Kurnaz

doi:10.1109/RAST.2003.1304000

Target detection accuracy improvement in synthetic aperture radar

S. Kargin
, M. Kartal
, S. Kurnaz

Department of Electronics and Communication Engineering

Turkish Air Force Academy

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

3 Citations (Scopus)

Abstract

This paper proposes a decision method to improve the target identification accuracy in a synthetic aperture radar processing algorithm. In the imaging algorithm, Fourier based processing algorithm is used to obtain the processed image from the measured 2D Cartesian backscattered frequency domain data. In practical applications, the measured data is limited in frequency band and aspect angle interval and this leads to radar images with limited resolution. Besides, the noise in measured data affects the target identification accuracy. In this paper, a decision rule is proposed to improve the target identification accuracy by comparing the processed image with the images in the data bank. With the decision rule, one can assign a well known target distribution to the processed image. In this work the effects of noise, frequency and aspect angle limitation in the decision accuracy are investigated and the results are presented.

Original language	English
Title of host publication	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
Editors	S. Kurnaz, Fuat Ince, S. Onbasioglu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	675-679
Number of pages	5
ISBN (Electronic)	0780381424, 9780780381421
DOIs	https://doi.org/10.1109/RAST.2003.1304000
Publication status	Published - 2003
Event	International Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Turkey Duration: 20 Nov 2003 → 22 Nov 2003

Publication series

Name	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

Conference

Conference	International Conference on Recent Advances in Space Technologies, RAST 2003
Country/Territory	Turkey
City	Istanbul
Period	20/11/03 → 22/11/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Access to Document

10.1109/RAST.2003.1304000

Cite this

Kargin, S., Kartal, M., & Kurnaz, S. (2003). Target detection accuracy improvement in synthetic aperture radar. In S. Kurnaz, F. Ince, & S. Onbasioglu (Eds.), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies (pp. 675-679). Article 1304000 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2003.1304000

Kargin, S. ; Kartal, M. ; Kurnaz, S. / Target detection accuracy improvement in synthetic aperture radar. RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. editor / S. Kurnaz ; Fuat Ince ; S. Onbasioglu. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 675-679 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

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title = "Target detection accuracy improvement in synthetic aperture radar",

abstract = "This paper proposes a decision method to improve the target identification accuracy in a synthetic aperture radar processing algorithm. In the imaging algorithm, Fourier based processing algorithm is used to obtain the processed image from the measured 2D Cartesian backscattered frequency domain data. In practical applications, the measured data is limited in frequency band and aspect angle interval and this leads to radar images with limited resolution. Besides, the noise in measured data affects the target identification accuracy. In this paper, a decision rule is proposed to improve the target identification accuracy by comparing the processed image with the images in the data bank. With the decision rule, one can assign a well known target distribution to the processed image. In this work the effects of noise, frequency and aspect angle limitation in the decision accuracy are investigated and the results are presented.",

author = "S. Kargin and M. Kartal and S. Kurnaz",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; International Conference on Recent Advances in Space Technologies, RAST 2003 ; Conference date: 20-11-2003 Through 22-11-2003",

year = "2003",

doi = "10.1109/RAST.2003.1304000",

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series = "RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies",

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Kargin, S, Kartal, M & Kurnaz, S 2003, Target detection accuracy improvement in synthetic aperture radar. in S Kurnaz, F Ince & S Onbasioglu (eds), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies., 1304000, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 675-679, International Conference on Recent Advances in Space Technologies, RAST 2003, Istanbul, Turkey, 20/11/03. https://doi.org/10.1109/RAST.2003.1304000

Target detection accuracy improvement in synthetic aperture radar. / Kargin, S.; Kartal, M.; Kurnaz, S.
RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. ed. / S. Kurnaz; Fuat Ince; S. Onbasioglu. Institute of Electrical and Electronics Engineers Inc., 2003. p. 675-679 1304000 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

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

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T1 - Target detection accuracy improvement in synthetic aperture radar

AU - Kargin, S.

AU - Kartal, M.

AU - Kurnaz, S.

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N2 - This paper proposes a decision method to improve the target identification accuracy in a synthetic aperture radar processing algorithm. In the imaging algorithm, Fourier based processing algorithm is used to obtain the processed image from the measured 2D Cartesian backscattered frequency domain data. In practical applications, the measured data is limited in frequency band and aspect angle interval and this leads to radar images with limited resolution. Besides, the noise in measured data affects the target identification accuracy. In this paper, a decision rule is proposed to improve the target identification accuracy by comparing the processed image with the images in the data bank. With the decision rule, one can assign a well known target distribution to the processed image. In this work the effects of noise, frequency and aspect angle limitation in the decision accuracy are investigated and the results are presented.

AB - This paper proposes a decision method to improve the target identification accuracy in a synthetic aperture radar processing algorithm. In the imaging algorithm, Fourier based processing algorithm is used to obtain the processed image from the measured 2D Cartesian backscattered frequency domain data. In practical applications, the measured data is limited in frequency band and aspect angle interval and this leads to radar images with limited resolution. Besides, the noise in measured data affects the target identification accuracy. In this paper, a decision rule is proposed to improve the target identification accuracy by comparing the processed image with the images in the data bank. With the decision rule, one can assign a well known target distribution to the processed image. In this work the effects of noise, frequency and aspect angle limitation in the decision accuracy are investigated and the results are presented.

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M3 - Conference contribution

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BT - RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

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A2 - Ince, Fuat

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PB - Institute of Electrical and Electronics Engineers Inc.

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Kargin S, Kartal M, Kurnaz S. Target detection accuracy improvement in synthetic aperture radar. In Kurnaz S, Ince F, Onbasioglu S, editors, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. Institute of Electrical and Electronics Engineers Inc. 2003. p. 675-679. 1304000. (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). doi: 10.1109/RAST.2003.1304000

Target detection accuracy improvement in synthetic aperture radar

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