Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm

Amir Hosein Oveis; Marco Martorella; Mohammad Ali Sebt; Ali Noroozi

doi:10.1109/EuRAD48048.2021.00045

Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm

Amir Hosein Oveis, Marco Martorella, Mohammad Ali Sebt, Ali Noroozi

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper addresses a considerable improvement of azimuth resolution in the stripmap mode of synthetic aperture radar (SAR) using the multiple-signal classification (MUSIC) algorithm. At first, the range compression and range migration correction are performed. Azimuth chirp signals of stationary targets will be resolved by conventional azimuth compression operation if the signals have slow-time separation larger than the reciprocal of their frequency bandwidth. Otherwise, they will be merged together and appear as a single stationary target in the SAR imaging. The scenario of close targets is modelled as a multipath problem and the corresponding time-delays are estimated using the super-resolution MUSIC algorithm. Therefore, stationary targets with close centers, which were merged by conventional azimuth compression operation, will be resolved and the azimuth resolution is considerably improved. Numerical results are presented to validate the theoretical discussions.

Original language	English
Title of host publication	2020 17th European Radar Conference (EuRAD)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	140-143
Number of pages	4
ISBN (Electronic)	9782874870613
ISBN (Print)	9781728170602 (PoD)
DOIs	https://doi.org/10.1109/EuRAD48048.2021.00045
Publication status	Published - 3 Feb 2021
Event	17th European Radar Conference, EuRAD 2020 - Utrecht, Netherlands Duration: 13 Jan 2021 → 15 Jan 2021

Publication series

Name	European Radar Conference (EURAD)

Conference

Conference	17th European Radar Conference, EuRAD 2020
Country/Territory	Netherlands
City	Utrecht
Period	13/01/21 → 15/01/21

Bibliographical note

Publisher Copyright:
© 2021 EuMA.

Keywords

Azimuth resolution
MUSIC
Sub-space based methods
synthetic aperture radar

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/EuRAD48048.2021.00045

Cite this

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title = "Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm",

abstract = "This paper addresses a considerable improvement of azimuth resolution in the stripmap mode of synthetic aperture radar (SAR) using the multiple-signal classification (MUSIC) algorithm. At first, the range compression and range migration correction are performed. Azimuth chirp signals of stationary targets will be resolved by conventional azimuth compression operation if the signals have slow-time separation larger than the reciprocal of their frequency bandwidth. Otherwise, they will be merged together and appear as a single stationary target in the SAR imaging. The scenario of close targets is modelled as a multipath problem and the corresponding time-delays are estimated using the super-resolution MUSIC algorithm. Therefore, stationary targets with close centers, which were merged by conventional azimuth compression operation, will be resolved and the azimuth resolution is considerably improved. Numerical results are presented to validate the theoretical discussions.",

keywords = "Azimuth resolution, MUSIC, Sub-space based methods, synthetic aperture radar",

author = "Oveis, {Amir Hosein} and Marco Martorella and Sebt, {Mohammad Ali} and Ali Noroozi",

note = "Publisher Copyright: {\textcopyright} 2021 EuMA.; 17th European Radar Conference, EuRAD 2020 ; Conference date: 13-01-2021 Through 15-01-2021",

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month = feb,

day = "3",

doi = "10.1109/EuRAD48048.2021.00045",

language = "English",

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series = "European Radar Conference (EURAD)",

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Oveis, AH, Martorella, M, Sebt, MA & Noroozi, A 2021, Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm. in 2020 17th European Radar Conference (EuRAD)., 9337418, European Radar Conference (EURAD), Institute of Electrical and Electronics Engineers (IEEE), pp. 140-143, 17th European Radar Conference, EuRAD 2020, Utrecht, Netherlands, 13/01/21. https://doi.org/10.1109/EuRAD48048.2021.00045

Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm. / Oveis, Amir Hosein; Martorella, Marco; Sebt, Mohammad Ali et al.
2020 17th European Radar Conference (EuRAD). Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 140-143 9337418 (European Radar Conference (EURAD)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm

AU - Oveis, Amir Hosein

AU - Martorella, Marco

AU - Sebt, Mohammad Ali

AU - Noroozi, Ali

PY - 2021/2/3

Y1 - 2021/2/3

N2 - This paper addresses a considerable improvement of azimuth resolution in the stripmap mode of synthetic aperture radar (SAR) using the multiple-signal classification (MUSIC) algorithm. At first, the range compression and range migration correction are performed. Azimuth chirp signals of stationary targets will be resolved by conventional azimuth compression operation if the signals have slow-time separation larger than the reciprocal of their frequency bandwidth. Otherwise, they will be merged together and appear as a single stationary target in the SAR imaging. The scenario of close targets is modelled as a multipath problem and the corresponding time-delays are estimated using the super-resolution MUSIC algorithm. Therefore, stationary targets with close centers, which were merged by conventional azimuth compression operation, will be resolved and the azimuth resolution is considerably improved. Numerical results are presented to validate the theoretical discussions.

AB - This paper addresses a considerable improvement of azimuth resolution in the stripmap mode of synthetic aperture radar (SAR) using the multiple-signal classification (MUSIC) algorithm. At first, the range compression and range migration correction are performed. Azimuth chirp signals of stationary targets will be resolved by conventional azimuth compression operation if the signals have slow-time separation larger than the reciprocal of their frequency bandwidth. Otherwise, they will be merged together and appear as a single stationary target in the SAR imaging. The scenario of close targets is modelled as a multipath problem and the corresponding time-delays are estimated using the super-resolution MUSIC algorithm. Therefore, stationary targets with close centers, which were merged by conventional azimuth compression operation, will be resolved and the azimuth resolution is considerably improved. Numerical results are presented to validate the theoretical discussions.

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KW - Sub-space based methods

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M3 - Conference contribution

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ER -

Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this