Fast GMTI Algorithm For Traffic Monitoring Based On A Priori Knowledge

Baumgartner SV, Krieger G (2012)

Publication Type: Journal article

Publication year: 2012


Publisher: IEEE - Institute of Electrical and Electronics Engineers

Book Volume: 50

Pages Range: 4626-4641

Journal Issue: 11


DOI: 10.1109/TGRS.2012.2193133


In this paper, a fast a priori knowledge-based ground moving target indication and parameter estimation algorithm applicable to single-as well as to multichannel 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, basically only a single 1-D fast Fourier transformation has to be performed for each considered road point. 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 position and velocity vectors of detected moving vehicles independent of the number of channels. A single-channel synthetic aperture radar system may be sufficient in case of fast moving vehicles. The paper includes a detailed performance assessment together with experimental results that demonstrate the applicability in a real-world scenario. © 2012 IEEE.

Authors with CRIS profile

Additional Organisation(s)

Involved external institutions

How to cite


Baumgartner, S.V., & Krieger, G. (2012). Fast GMTI Algorithm For Traffic Monitoring Based On A Priori Knowledge. IEEE Transactions on Geoscience and Remote Sensing, 50(11), 4626-4641.


Baumgartner, Stefan V., and Gerhard Krieger. "Fast GMTI Algorithm For Traffic Monitoring Based On A Priori Knowledge." IEEE Transactions on Geoscience and Remote Sensing 50.11 (2012): 4626-4641.

BibTeX: Download