Fast GMTI Algorithm For Traffic Monitoring Based On A Priori Knowledge

Abstract

In this paper a fast a priori knowledge-based ground moving target indication and parameter estimation algorithm applicable to single- as well as to multi-channel synthetic aperture airborne radar data is presented. The algorithm 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 array, are evaluated. For moving vehicle detection and parameter estimation for each considered road point basically only one single FFT has to be performed. Hence, the required computational power is low and the algorithm is well suited for real-time traffic monitoring applications. The proposed algorithm enables the estimation of the whole position and velocity vectors of the detected moving vehicles, even if only a single-channel synthetic aperture radar system is used.