SIREV - Sector Imaging Radar for Enhanced Vision
Krieger G, Mittermayer J, Wendler M, Witte F, Moreira A (2001)
Publication Type: Conference contribution
Publication year: 2001
Pages Range: 377-382
Conference Proceedings Title: 2nd International Symposium on Image and Signal Processing and Analysis
URI: https://elib.dlr.de/5980/
Abstract
SIREV (Sector Imaging Radar for Enhanced Vision) is an innovative radar system which can supply high-quality images of a sector in front of an aircraft under almost every weather condition. In contrast to synthetic aperture radar (SAR) systems, no relative motion between sensor and targets is required in SIREV. The high frame repetition frequency in SIREV allows to detect even very rapid changes in the imaged scenes. Besides a map of the earth′s surface, the complex-valued radar images can be further processed to supply additional information about the topography and objects in the field of view. A fast processing algorithm has been developed for SIREV which allows a very accurate, phase preserving and efficient image formation. Raw data were obtained by a first demonstration flight using a helicopter as a platform and the data processing results show good agreement with the theory. Motion errors of the platform could be extracted from the range compressed raw data avoiding the need of an inertial navigation system. After the image formation, coherent and incoherent image averaging processes have been applied to improve the image quality. The evaluation of the computational effort shows that a real-time hardware realization can be carried out using off-the-shelf digital components.
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Germany (DE)How to cite
APA:
Krieger, G., Mittermayer, J., Wendler, M., Witte, F., & Moreira, A. (2001). SIREV - Sector Imaging Radar for Enhanced Vision. In 2nd International Symposium on Image and Signal Processing and Analysis (pp. 377-382).
MLA:
Krieger, Gerhard, et al. "SIREV - Sector Imaging Radar for Enhanced Vision." Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis 2001. 377-382.
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