Fast post-Doppler STAP with road map for traffic monitoring: overview and first results

Abstract

Abstract. Synthetic aperture radar (SAR) is an efficient solution for road traffic monitoring due to its high spatial resolution and independence from daylight and weather conditions. In this sense, a number of ground moving target indication (GMTI) algorithms have been developed, whereas their robustness is often achieved with high costs, increased hardware complexity and high computational burden. This paper presents a fast GMTI processor that blends the powerful post-Doppler space-time adaptive processing (PD STAP) with an a priori known road map and digital elevation model (DEM). The algorithm presents great potential for real-time processing, decreased hardware complexity and low costs compared to state-of-the-art systems. It is tested using real 4-channel X-band radar data acquired with the DLR's airborne F-SAR.

In-Flight Multichannel Calibration for Along-Track Interferometric Airborne Radar

“…Although the proposed algorithm obtained more false detections than the DCB, it is pointed out that most of the false detections can be discarded with our PD STAP processor with a priori knowledge information [25], [28], which uses a road database obtained from the OpenStreetMap [31] and a digital elevation model obtained from the Shuttle Radar Topography Mission [32]. Fig.…”

“…The processing time reduction by a factor of 15 highlights the potential of the proposed algorithm toward real-time applications. For instance, the proposed calibration algorithm can be applied to our fast PD STAP traffic monitoring processor with a priori knowledge information presented in [28]. It is pointed out that to achieve real-time processing capabilities, an efficient parallel implementation taking into account the potential multicore and multiprocessor architectures as well as graphical processing units (GPUs) is required.…”