Analysis and comparison of multichannel SAR imaging algorithms

Risto Vehmas; Juha Jylhä; Minna Väilä; Ari Visa

doi:10.1109/RADAR.2017.7944224

Analysis and comparison of multichannel SAR imaging algorithms

Risto Vehmas, Juha Jylhä, Minna Väilä, Ari Visa

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

1 Citation (Scopus)

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Abstract

Multichannel synthetic aperture radar (MSAR) systems are essential for applications such as ground moving target indication (GMTI), interferometric SAR (InSAR), and high-resolution wide-swath (HRWS) imaging. In this paper, we analyze and compare MSAR image reconstruction algorithms. Previously, image reconstruction for MSAR has relied heavily on frequency domain matched filtering. Time domain image reconstruction algorithms have several attractive qualities, but their use has been limited due to a high computational burden. In this paper, we utilize digital beamforming and the phase center approximation to develop a fast time domain (fast factorized back-projection, FFBP) algorithm for MSAR. We present two FFBP implementations for MSAR and perform a comparative study between MSAR imaging algorithms. The numerical results confirm the feasibility of the proposed FFBP algorithms for MSAR.

Original language	English
Title of host publication	2017 IEEE Radar Conference (RadarConf)
Publisher	IEEE
Pages	340-345
ISBN (Electronic)	978-1-4673-8823-8
ISBN (Print)	978-1-4673-8824-5
DOIs	https://doi.org/10.1109/RADAR.2017.7944224
Publication status	Published - May 2017
Publication type	A4 Article in conference proceedings
Event	IEEE Radar Conference - Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)	2375-5318

Conference

Conference	IEEE Radar Conference
Period	1/01/00 → …

Keywords

synthetic aperture radar
radar imaging
radar signal processing
digital beamforming

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Publication forum level 1

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10.1109/RADAR.2017.7944224

RADAR2017_msar
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Accepted author manuscript, 873 KB

http://urn.fi/URN:NBN:fi:tty-201908262021

Analysis and comparison of multichannel SAR imaging algorithms
Vehmas, R. (Speaker)
9 May 2017
Activity: Talk or presentation › Conference presentation

Cite this

@inproceedings{b4ab8106d91642ccbb45a41dad347c71,

title = "Analysis and comparison of multichannel SAR imaging algorithms",

abstract = "Multichannel synthetic aperture radar (MSAR) systems are essential for applications such as ground moving target indication (GMTI), interferometric SAR (InSAR), and high-resolution wide-swath (HRWS) imaging. In this paper, we analyze and compare MSAR image reconstruction algorithms. Previously, image reconstruction for MSAR has relied heavily on frequency domain matched filtering. Time domain image reconstruction algorithms have several attractive qualities, but their use has been limited due to a high computational burden. In this paper, we utilize digital beamforming and the phase center approximation to develop a fast time domain (fast factorized back-projection, FFBP) algorithm for MSAR. We present two FFBP implementations for MSAR and perform a comparative study between MSAR imaging algorithms. The numerical results confirm the feasibility of the proposed FFBP algorithms for MSAR.",

keywords = "synthetic aperture radar, radar imaging, radar signal processing, digital beamforming ",

author = "Risto Vehmas and Juha Jylh{\"a} and Minna V{\"a}il{\"a} and Ari Visa",

year = "2017",

month = may,

doi = "10.1109/RADAR.2017.7944224",

language = "English",

isbn = "978-1-4673-8824-5",

publisher = "IEEE",

pages = "340--345",

booktitle = "2017 IEEE Radar Conference (RadarConf)",

note = "IEEE Radar Conference ; Conference date: 01-01-1900",

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TY - GEN

T1 - Analysis and comparison of multichannel SAR imaging algorithms

AU - Vehmas, Risto

AU - Jylhä, Juha

AU - Väilä, Minna

AU - Visa, Ari

PY - 2017/5

Y1 - 2017/5

N2 - Multichannel synthetic aperture radar (MSAR) systems are essential for applications such as ground moving target indication (GMTI), interferometric SAR (InSAR), and high-resolution wide-swath (HRWS) imaging. In this paper, we analyze and compare MSAR image reconstruction algorithms. Previously, image reconstruction for MSAR has relied heavily on frequency domain matched filtering. Time domain image reconstruction algorithms have several attractive qualities, but their use has been limited due to a high computational burden. In this paper, we utilize digital beamforming and the phase center approximation to develop a fast time domain (fast factorized back-projection, FFBP) algorithm for MSAR. We present two FFBP implementations for MSAR and perform a comparative study between MSAR imaging algorithms. The numerical results confirm the feasibility of the proposed FFBP algorithms for MSAR.

AB - Multichannel synthetic aperture radar (MSAR) systems are essential for applications such as ground moving target indication (GMTI), interferometric SAR (InSAR), and high-resolution wide-swath (HRWS) imaging. In this paper, we analyze and compare MSAR image reconstruction algorithms. Previously, image reconstruction for MSAR has relied heavily on frequency domain matched filtering. Time domain image reconstruction algorithms have several attractive qualities, but their use has been limited due to a high computational burden. In this paper, we utilize digital beamforming and the phase center approximation to develop a fast time domain (fast factorized back-projection, FFBP) algorithm for MSAR. We present two FFBP implementations for MSAR and perform a comparative study between MSAR imaging algorithms. The numerical results confirm the feasibility of the proposed FFBP algorithms for MSAR.

KW - synthetic aperture radar

KW - radar imaging

KW - radar signal processing

KW - digital beamforming

U2 - 10.1109/RADAR.2017.7944224

DO - 10.1109/RADAR.2017.7944224

M3 - Conference contribution

SN - 978-1-4673-8824-5

SP - 340

EP - 345

BT - 2017 IEEE Radar Conference (RadarConf)

PB - IEEE

T2 - IEEE Radar Conference

Y2 - 1 January 1900

ER -

Analysis and comparison of multichannel SAR imaging algorithms

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Analysis and comparison of multichannel SAR imaging algorithms

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