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Super-resolution for SAR based on the MUSIC estimator

Thompson, Philip and Nannini, Matteo and Scheiber, Rolf (2007) Super-resolution for SAR based on the MUSIC estimator. Diploma. DLR-Interner Bericht. DLR-IB-551-003/2007, 61 S.

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In this thesis the performance of the MUSIC (MUltiple SIgnal Classification) algorithm for increasing the focusing of Synthetic Aperture Radar images was evaluated. This is achieved by exploiting the high separation capability of MUSIC. After a detailed discussion of the basic MUSIC approach, initially proposed for the estimation of the Direction–of-Arrival (DOA) of signals using an antenna receiver array, a new 2D post-processing algorithm (applied on already focused images) based on MUSIC is proposed and tested on simulated and real data (acquired by DLR’s E-SAR system). The aim is to separate targets closer than the Fourier resolution limit. The separation performance is quantized in terms of fractions of the resolution cell. Limitations and drawbacks are also discussed. Finally, an outlook of the application of the MUSIC approach in a wider SAR context is given.

Document Type:Monograph (DLR-Interner Bericht, Diploma)
Title:Super-resolution for SAR based on the MUSIC estimator
AuthorsInstitution or Email of Authors
Thompson, PhilipUNSPECIFIED
Nannini, MatteoUNSPECIFIED
Date:June 2007
Refereed publication:No
Number of Pages:61
Keywords:MUSIC, DOA estimation, super-resolution, SAR.
Institution:ITA - Instituto Technologica de Aeronautica, Sao Jose dos Campos , Brasil
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Flugzeug-SAR (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology
Deposited By: Dr.-Ing. Rolf Scheiber
Deposited On:23 Oct 2007
Last Modified:12 Dec 2013 20:25

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