A Priori Knowledge Based GMTI Algorithm For Traffic Monitoring Applications

Kurzfassung

In the paper a ground moving target indication and parameter estimation algorithm applicable on single- as well as on multi-channel synthetic aperture radar data is presented. The algorithm is based on a priori knowledge and operates directly on range-compressed data. Only the intersection points of the moving vehicle signals with the a priori known road axes, which are mapped into the range-compressed data domain, are evaluated. The algorithm needs low computational power and hence, it is suitable for real time traffic monitoring applications. The absolute velocities, the headings and the geocoded positions of the detected moving vehicles can be estimated. A verification of the algorithm is done using real dual-channel data acquired with DLR's new airborne system F-SAR.