Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim

Özgür Gültekin; Tayfun Günel; Işin Erer

doi:10.1109/SIU.2006.1659770

Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim

Translated title of the contribution: A new hybrid approach to radar target classification for the estimation of scattering centers

Özgür Gültekin^*, Tayfun Günel, Işin Erer

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

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

1 Citation (Scopus)

Abstract

Radar images, range profiles and scattering centers are used as feature parameters in radar target classification applications. Scattering center parameters, when used as feature parameters, enable an efficient compression of feature space compared to classical target classification methods based on radar images and range profiles. A method used for the estimation of scattering centers via cancellation of side lobes is the CLEAN algorithm. In this work, model based Prony, MUSIC, ESPRIT and evolutionary based CLEAN methods are applied for the estimation of scattering centers. A hybrid method is proposed which improves the convergence of evolutionary based CLEAN. Scattering centers which are estimated by aforementioned methods are classified using correlation based matching score method, Bayes classifier and artificial neural networks. Classification is accomplished using simulated data of four different aircraft models created by the point target model at different frequency bands and aspect angles.

Translated title of the contribution	A new hybrid approach to radar target classification for the estimation of scattering centers
Original language	Turkish
Title of host publication	2006 IEEE 14th Signal Processing and Communications Applications Conference
DOIs	https://doi.org/10.1109/SIU.2006.1659770
Publication status	Published - 2006
Event	2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey Duration: 17 Apr 2006 → 19 Apr 2006

Publication series

Name	2006 IEEE 14th Signal Processing and Communications Applications Conference
Volume	2006

Conference

Conference	2006 IEEE 14th Signal Processing and Communications Applications
Country/Territory	Turkey
City	Antalya
Period	17/04/06 → 19/04/06

Access to Document

10.1109/SIU.2006.1659770

Cite this

Gültekin, Ö., Günel, T., & Erer, I. (2006). Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim. In 2006 IEEE 14th Signal Processing and Communications Applications Conference Article 1659770 (2006 IEEE 14th Signal Processing and Communications Applications Conference; Vol. 2006). https://doi.org/10.1109/SIU.2006.1659770

@inproceedings{8cfb08f672d8455ebdcc5a248456888a,

title = "Radar hedeflerinin siniflandirilmasinda sa{\c c}ici merkezlerin kestirimi i{\c c}in yeni bir karma yakla{\c s}im",

abstract = "Radar images, range profiles and scattering centers are used as feature parameters in radar target classification applications. Scattering center parameters, when used as feature parameters, enable an efficient compression of feature space compared to classical target classification methods based on radar images and range profiles. A method used for the estimation of scattering centers via cancellation of side lobes is the CLEAN algorithm. In this work, model based Prony, MUSIC, ESPRIT and evolutionary based CLEAN methods are applied for the estimation of scattering centers. A hybrid method is proposed which improves the convergence of evolutionary based CLEAN. Scattering centers which are estimated by aforementioned methods are classified using correlation based matching score method, Bayes classifier and artificial neural networks. Classification is accomplished using simulated data of four different aircraft models created by the point target model at different frequency bands and aspect angles.",

author = "{\"O}zg{\"u}r G{\"u}ltekin and Tayfun G{\"u}nel and I{\c s}in Erer",

year = "2006",

doi = "10.1109/SIU.2006.1659770",

language = "T{\"u}rk{\c c}e",

isbn = "1424402395",

series = "2006 IEEE 14th Signal Processing and Communications Applications Conference",

booktitle = "2006 IEEE 14th Signal Processing and Communications Applications Conference",

note = "2006 IEEE 14th Signal Processing and Communications Applications ; Conference date: 17-04-2006 Through 19-04-2006",

}

Gültekin, Ö, Günel, T & Erer, I 2006, Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim. in 2006 IEEE 14th Signal Processing and Communications Applications Conference., 1659770, 2006 IEEE 14th Signal Processing and Communications Applications Conference, vol. 2006, 2006 IEEE 14th Signal Processing and Communications Applications, Antalya, Turkey, 17/04/06. https://doi.org/10.1109/SIU.2006.1659770

Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim. / Gültekin, Özgür; Günel, Tayfun ; Erer, Işin.
2006 IEEE 14th Signal Processing and Communications Applications Conference. 2006. 1659770 (2006 IEEE 14th Signal Processing and Communications Applications Conference; Vol. 2006).

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

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AU - Gültekin, Özgür

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AU - Erer, Işin

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N2 - Radar images, range profiles and scattering centers are used as feature parameters in radar target classification applications. Scattering center parameters, when used as feature parameters, enable an efficient compression of feature space compared to classical target classification methods based on radar images and range profiles. A method used for the estimation of scattering centers via cancellation of side lobes is the CLEAN algorithm. In this work, model based Prony, MUSIC, ESPRIT and evolutionary based CLEAN methods are applied for the estimation of scattering centers. A hybrid method is proposed which improves the convergence of evolutionary based CLEAN. Scattering centers which are estimated by aforementioned methods are classified using correlation based matching score method, Bayes classifier and artificial neural networks. Classification is accomplished using simulated data of four different aircraft models created by the point target model at different frequency bands and aspect angles.

AB - Radar images, range profiles and scattering centers are used as feature parameters in radar target classification applications. Scattering center parameters, when used as feature parameters, enable an efficient compression of feature space compared to classical target classification methods based on radar images and range profiles. A method used for the estimation of scattering centers via cancellation of side lobes is the CLEAN algorithm. In this work, model based Prony, MUSIC, ESPRIT and evolutionary based CLEAN methods are applied for the estimation of scattering centers. A hybrid method is proposed which improves the convergence of evolutionary based CLEAN. Scattering centers which are estimated by aforementioned methods are classified using correlation based matching score method, Bayes classifier and artificial neural networks. Classification is accomplished using simulated data of four different aircraft models created by the point target model at different frequency bands and aspect angles.

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M3 - Konferans katkısı

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SN - 1424402395

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Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim

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