Paper
26 April 2006 The issues of moving target detection in SAR systems
Piotr Serafin
Author Affiliations +
Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61591Q (2006) https://doi.org/10.1117/12.675088
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland
Abstract
The publication presents problems emerging from the area of overlapping of two advanced radar techniques: Airborne Moving Target Indication (AMTI) and Synthetic Aperture Radar (SAR). The first technique applied to airborne radar systems, especially in fighters and Airborne Early Warning systems does not require high resolution abilities from radar systems, but its high computational requirements result from the necessity of fast and usually adaptive matching of system characteristics to rapidly changing disturbances. The second technique, based on the quasi stationarity of the electromagnetic field in the observed space, allows to obtain a high resolution radar image only for non-moving objects. The computational complexity of SAR algorithms is connected with large amount of data collected during the observation period. The attempt of application of SAR system to detect and exactly localize moving targets leads to certain distortions and deformations in radar image. This paper presents impact of the movement of targets on SAR image and possible ways of improvement of its quality and determining of movement parameters.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Piotr Serafin "The issues of moving target detection in SAR systems", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61591Q (26 April 2006); https://doi.org/10.1117/12.675088
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KEYWORDS
Synthetic aperture radar

Radar

Signal processing

Doppler effect

Antennas

Computing systems

Nonlinear filtering

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