Performance Evaluation of F-K Kirchhoff Migration using Ultra-wideband Radar with Sparse Array

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Performance Evaluation of F-K Kirchhoff Migration using Ultra-wideband Radar with Sparse Array

Conference Paper (2016)

Author(s)

Takuya Sakamoto (University of Hyogo, Kyoto University)

Toru Sato (Kyoto University)

Pascal Aubry (Microwave Sensing, Signals & Systems)

Alexander Yarovoy (Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems

Sparse array Radar imaging F-K Kirchhoff migration

DOI related publication

https://doi.org/10.1109/EuCAP.2016.7481980 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:456eb53e-06b2-4a2a-846a-691f02075152

More Info

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Publication Year

2016

Language

English

Microwave Sensing, Signals & Systems

Pages (from-to)

1-2

ISBN (electronic)

978-8-8907-0186-3

Event

EuCAP 2016 (2016-04-10 - 2016-04-15), Davos, Switzerland

Downloads counter

175

Abstract

Recently, the authors proposed a fast high-resolution imaging algorithm, called frequency-wavenumber (F-K) Kirchhoff migration. It was developed by combining three algorithms: F-K migration, Kirchhoff migration and inverse boundary scattering transform. The F-K Kirchhoff migration is considered promising in improving the image resolution of images taken with airport security body scanners for which costs can be mitigated by introducing sparse arrays. We investigate the imaging performance of the F-K Kirchhoff migration using ultra-wideband radar with such sparse arrays.