Superresolution ISAR imaging using 2-D autoregressive lattice filters

Iin Erer; Ahmet Hamdi Kayran

doi:10.1002/mop.10096

Superresolution ISAR imaging using 2-D autoregressive lattice filters

Iin Erer^*
, Ahmet Hamdi Kayran

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

A new efficient algorithm to obtain high-resolution ISAR images in the case of limited frequency band and small angular section is presented. The method is based on the two-dimensional (2-D) autoregressive modeling of 2-D Cartesian frequency backscattered data using 2-D orthogonal lattice filters. ISAR images obtained for an experimental target are included to validate this technique.

Original language	English
Pages (from-to)	81-85
Number of pages	5
Journal	Microwave and Optical Technology Letters
Volume	32
Issue number	1
DOIs	https://doi.org/10.1002/mop.10096
Publication status	Published - 5 Jan 2002

Keywords

Autoregressive modeling
ISAR imaging
Lattice filters
Linear prediction

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10.1002/mop.10096

Cite this

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title = "Superresolution ISAR imaging using 2-D autoregressive lattice filters",

abstract = "A new efficient algorithm to obtain high-resolution ISAR images in the case of limited frequency band and small angular section is presented. The method is based on the two-dimensional (2-D) autoregressive modeling of 2-D Cartesian frequency backscattered data using 2-D orthogonal lattice filters. ISAR images obtained for an experimental target are included to validate this technique.",

keywords = "Autoregressive modeling, ISAR imaging, Lattice filters, Linear prediction",

author = "Iin Erer and Kayran, \{Ahmet Hamdi\}",

year = "2002",

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AU - Erer, Iin

AU - Kayran, Ahmet Hamdi

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N2 - A new efficient algorithm to obtain high-resolution ISAR images in the case of limited frequency band and small angular section is presented. The method is based on the two-dimensional (2-D) autoregressive modeling of 2-D Cartesian frequency backscattered data using 2-D orthogonal lattice filters. ISAR images obtained for an experimental target are included to validate this technique.

AB - A new efficient algorithm to obtain high-resolution ISAR images in the case of limited frequency band and small angular section is presented. The method is based on the two-dimensional (2-D) autoregressive modeling of 2-D Cartesian frequency backscattered data using 2-D orthogonal lattice filters. ISAR images obtained for an experimental target are included to validate this technique.

KW - Autoregressive modeling

KW - ISAR imaging

KW - Lattice filters

KW - Linear prediction

UR - https://www.scopus.com/pages/publications/0037021872

U2 - 10.1002/mop.10096

DO - 10.1002/mop.10096

M3 - Article

AN - SCOPUS:0037021872

SN - 0895-2477

VL - 32

SP - 81

EP - 85

JO - Microwave and Optical Technology Letters

JF - Microwave and Optical Technology Letters

IS - 1

ER -

Superresolution ISAR imaging using 2-D autoregressive lattice filters

Abstract

Keywords

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