In the paper a ground moving target indication (GMTI) and parameter estimation algorithm based on a priori knowledge is presented. This algorithm is suitable for real time airborne traffic monitoring applications using single- as well as multi-channel synthetic aperture radar (SAR). It operates directly on range-compressed data. Only the intersection points of the moving vehicle signals with the road axis mapped into the range-compressed data domain are evaluated. Hence, the algorithm needs low computational power. The proposed algorithm enables the estimation of the position and velocity vectors of moving vehicles as well as automatic geocoding. A verification of the algorithm is done using dual-channel SAR data acquired with DLR's new F-SAR system.The algorithm described in this paper takes into account the road network for vehicle detection and parameter estimation. The idea using a road network is not new, but up to now such a road network mainly was used together with displacement based GMTI algorithms. These algorithms measure the azimuth displacements (which are proportional to the acrosstrack velocities) of the vehicles occurring due to conventional SAR focusing. The processing is time consuming since in general SAR images have to be generated taking into account the full bandwidth given by the pulse repetition frequency (PRF) of the radar. For the proposed algorithm conventional SAR focussing is not necessary. The algorithm operates directly on the range-compressed SAR data. Even with a single-channel SAR system for fast moving vehicles falling outside the clutter band the parameters position, absolute velocity and heading can be estimated with high accuracy.
F-SAR GMTI processor concept for traffic monitoring applications
F-SAR-GMTI-Prozessorkonzept für die Verkehrsüberwachung
2009
5 Seiten, 7 Bilder, 5 Quellen
(nicht paginiert)
Conference paper
Storage medium
English
F-SAR GMTI Processor Concept for Traffic Monitoring Applications
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