GEO SA-BSAR Synchronization and MTI Algorithm Based on Direct Signal and Clutter Subspace

Geosynchronous (GEO) spaceborne-airborne bistatic synthetic aperture radar, consisting of a GEO transmitter and an airborne multichannel receiver, is a potential moving target indication (MTI) system. However, such systems encounter synchronization challenges due to noncooperative transmission and r...

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Published inIEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 4368 - 4378
Main Authors Cui, Chang, Dong, Xichao, Chen, Zhiyang
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Bistatic synthetic aperture radar (SAR)
Clutter
Detection
Frequency synchronization
geosynchronous (GEO) SAR
Mathematical models
Microprocessors
moving target indicator (MTI)
Moving targets
Orbits
Probability theory
Receivers
SAR (radar)
Satellites
Signal to noise ratio
Subspaces
Synchronization
Synthetic aperture radar
Target detection
Time synchronization
Transmitters
Online AccessGet full text
ISSN1939-1404
2151-1535
2151-1535
DOI10.1109/JSTARS.2024.3358393

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Abstract Geosynchronous (GEO) spaceborne-airborne bistatic synthetic aperture radar, consisting of a GEO transmitter and an airborne multichannel receiver, is a potential moving target indication (MTI) system. However, such systems encounter synchronization challenges due to noncooperative transmission and reception. Besides, the inaccurate GEO orbital position for the MTI processor construction results in a low output signal-to-noise ratio (SNR) and reduced target detection probability. To address this, this article proposes a synchronization and MTI method based on direct signal and clutter subspace, which can enhance the output SNR for target detection even if the GEO orbital position is inaccurate. This method utilizes the direct signal to compensate for time and frequency synchronization errors. In addition, the residual error caused by the imprecise GEO orbit is estimated by approximating the clutter subspace. Next, a modified MTI processor is employed to suppress clutter and focus moving targets by using the residual error. Finally, the effectiveness of the proposed method is verified by numerical simulation experiments based on real IGSO orbital parameters.
AbstractList Geosynchronous (GEO) spaceborne-airborne bistatic synthetic aperture radar, consisting of a GEO transmitter and an airborne multichannel receiver, is a potential moving target indication (MTI) system. However, such systems encounter synchronization challenges due to noncooperative transmission and reception. Besides, the inaccurate GEO orbital position for the MTI processor construction results in a low output signal-to-noise ratio (SNR) and reduced target detection probability. To address this, this article proposes a synchronization and MTI method based on direct signal and clutter subspace, which can enhance the output SNR for target detection even if the GEO orbital position is inaccurate. This method utilizes the direct signal to compensate for time and frequency synchronization errors. In addition, the residual error caused by the imprecise GEO orbit is estimated by approximating the clutter subspace. Next, a modified MTI processor is employed to suppress clutter and focus moving targets by using the residual error. Finally, the effectiveness of the proposed method is verified by numerical simulation experiments based on real IGSO orbital parameters.
Author Dong, Xichao
Cui, Chang
Chen, Zhiyang
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StartPage 4368
SubjectTerms Algorithms
Bistatic synthetic aperture radar (SAR)
Clutter
Detection
Frequency synchronization
geosynchronous (GEO) SAR
Mathematical models
Microprocessors
moving target indicator (MTI)
Moving targets
Orbits
Probability theory
Receivers
SAR (radar)
Satellites
Signal to noise ratio
Subspaces
Synchronization
Synthetic aperture radar
Target detection
Time synchronization
Transmitters
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Title GEO SA-BSAR Synchronization and MTI Algorithm Based on Direct Signal and Clutter Subspace
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