SAR moving targets detection based on the Chirp-Fourier transform

Synthetic aperture radar (SAR) is an active, all-weather capable system to produce high resolution images of the ground. The two imaging directions are range and azimuth (flight direction). The relative motion between platform and ground is exploited for image generation in the azimuth. In SAR proce...

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Bibliographic Details
Main Authors: Changwen Qu, You He, Feng Su, Yong Huang
Format: Conference Proceeding
Language:English
Subjects:
Azimuth
Chirp
High-resolution imaging
Image generation
Image resolution
Object detection
Radar tracking
Signal processing
Synthetic aperture radar
Target tracking
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Summary:Synthetic aperture radar (SAR) is an active, all-weather capable system to produce high resolution images of the ground. The two imaging directions are range and azimuth (flight direction). The relative motion between platform and ground is exploited for image generation in the azimuth. In SAR processing it is assumed that the ground is static. Moving targets cause errors in SAR images, like defocusing and displacement, depending on the direction of their motion. Since detection, identification and tracking of moving objects in SAR signals are necessary in both civil and military applications, the errors need to be corrected. In this paper, we propose the method based on the Chirp-Fourier transform (CFT) to detect moving targets. Processing steps of this method and simulated results are given in detail. Simulation results show this method can detect moving targets and estimate its parameters in noise case effectively.
ISSN:1097-5659
2375-5318
DOI:10.1109/RADAR.2005.1435936