2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme

Bahar Özen; Işin Erer

doi:10.1109/SIU.2016.7495875

2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme

Bahar Özen, Işin Erer

Elektronik ve Hab.Müh.Bölümü

Scientific and Technological Research Council of Turkey

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

ISAR imaging based on autoregressive (AR) model has not only spurious scattering centers but also high side lobes. Sparse AR models can be utilized for suppressing these. However, computational complexity of the BPDN with penalty sparsity approach which is employed to compute sparse AR model coefficients is high. In this work, the sparse AR model coefficients are computed by using BPDN and LASSO approaches which have less computational complexity. Spurious scattering centers and side lobes are successfully suppressed in the resulting radar images.

Tercüme edilen katkı başlığı	2-D sparse autoregressive modeling for high resolution radar imaging
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	857-860
Sayfa sayısı	4
ISBN (Elektronik)	9781509016792
DOI'lar	https://doi.org/10.1109/SIU.2016.7495875
Yayın durumu	Yayınlandı - 20 Haz 2016
Etkinlik	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Süre: 16 May 2016 → 19 May 2016

Yayın serisi

Adı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	24th Signal Processing and Communication Application Conference, SIU 2016
Ülke/Bölge	Turkey
Şehir	Zonguldak
Periyot	16/05/16 → 19/05/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Keywords

AR model
BPDN
BPDN with penalty
LASSO
radar imaging
sparsity

Belgeye Erişim

10.1109/SIU.2016.7495875

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Özen, B., & Erer, I. (2016). 2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 857-860). Makale 7495875 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2016.7495875

Özen, Bahar ; Erer, Işin. / 2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme. 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 857-860 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

@inproceedings{26287b88dfd04f9faa76fbf1f847bed1,

title = "2-B Seyrek {\"O}zbaǧlanimli Modelleme ile Y{\"u}ksek {\c C}{\"o}z{\"u}n{\"u}rl{\"u}kl{\"u} Radar G{\"o}r{\"u}nt{\"u}leme",

abstract = "ISAR imaging based on autoregressive (AR) model has not only spurious scattering centers but also high side lobes. Sparse AR models can be utilized for suppressing these. However, computational complexity of the BPDN with penalty sparsity approach which is employed to compute sparse AR model coefficients is high. In this work, the sparse AR model coefficients are computed by using BPDN and LASSO approaches which have less computational complexity. Spurious scattering centers and side lobes are successfully suppressed in the resulting radar images.",

keywords = "AR model, BPDN, BPDN with penalty, LASSO, radar imaging, sparsity",

author = "Bahar {\"O}zen and I{\c s}in Erer",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",

year = "2016",

month = jun,

day = "20",

doi = "10.1109/SIU.2016.7495875",

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

series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "857--860",

booktitle = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

address = "United States",

}

Özen, B & Erer, I 2016, 2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme. in 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings., 7495875, 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 857-860, 24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16/05/16. https://doi.org/10.1109/SIU.2016.7495875

2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme. / Özen, Bahar; Erer, Işin.
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 857-860 7495875 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - 2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme

AU - Özen, Bahar

AU - Erer, Işin

PY - 2016/6/20

Y1 - 2016/6/20

N2 - ISAR imaging based on autoregressive (AR) model has not only spurious scattering centers but also high side lobes. Sparse AR models can be utilized for suppressing these. However, computational complexity of the BPDN with penalty sparsity approach which is employed to compute sparse AR model coefficients is high. In this work, the sparse AR model coefficients are computed by using BPDN and LASSO approaches which have less computational complexity. Spurious scattering centers and side lobes are successfully suppressed in the resulting radar images.

AB - ISAR imaging based on autoregressive (AR) model has not only spurious scattering centers but also high side lobes. Sparse AR models can be utilized for suppressing these. However, computational complexity of the BPDN with penalty sparsity approach which is employed to compute sparse AR model coefficients is high. In this work, the sparse AR model coefficients are computed by using BPDN and LASSO approaches which have less computational complexity. Spurious scattering centers and side lobes are successfully suppressed in the resulting radar images.

KW - AR model

KW - BPDN

KW - BPDN with penalty

KW - LASSO

KW - radar imaging

KW - sparsity

UR - http://www.scopus.com/inward/record.url?scp=84982804485&partnerID=8YFLogxK

U2 - 10.1109/SIU.2016.7495875

DO - 10.1109/SIU.2016.7495875

M3 - Konferans katkısı

AN - SCOPUS:84982804485

T3 - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

SP - 857

EP - 860

BT - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th Signal Processing and Communication Application Conference, SIU 2016

Y2 - 16 May 2016 through 19 May 2016

ER -

Özen B, Erer I. 2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 857-860. 7495875. (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). doi: 10.1109/SIU.2016.7495875

2-B Seyrek Özbaǧlanimli Modelleme ile Yüksek Çözünürlüklü Radar Görüntüleme

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap