Moving Target Indication Radars for detection and track-ing ground vehicles has received significant interest in the Radar literature. However, when the vehicles are moving slowly and in foliage, microwave frequency radars such as X-band are not effective. Foliage Penetration (FOPEN) Radars using ultra high frequency (UHF) synthetic aperture waveforms have demonstrated consistent detection of stationary ground vehicles. In most applications, the vehicles are stationary to support wide angle, high resolution SAR processing. Along Track Interferometry (ATI) has been proposed for space based radars to detect moving targets due to the high velocity of the radar. This study will examine the target and processing requirements to detect slowly moving ground vehicles using ATI approaches. A detailed simulation of the target and clutter phenomenology is carried out to illustrate the effects of internal clutter motion and signal decorrelation effects on minimum discernable velocity.
Surveillance RADARs normally share time for detecting fixed and moving targets. With modern digital waveform synthesis and high performance computing, it is feasible to collect signals that use space, time and frequency encoding to simultaneously operate in GMTI and SAR modes. This paper summarizes a new waveform and adaptive RADAR architecture with the potential for simultaneous SAR and GMTI operation, along with a detailed simulation of target detections.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.