This paper presents a new adaptive radar signal processing technique for target detection and geolocation using radar data from platforms capable of performing simultaneous Synthetic Aperture Radar (SAR) and Along-Track Interferometry (ATI). Space-Time Adaptive Processing (STAP) and ATI processing methodologies are combined in parallel to simultaneously image, detect and identify the geolocation of moving targets over clutter using data obtained from a single set of measurements. Proposed method allows use of a common data source and interconnected methods to fully exploit the information content of the measured data for improved target detection and geolocation.@en

This paper presents a new adaptive radar signal processing technique for dismount detection using Synthetic Aperture Radar (SAR). The new approach uses the complex nature of the Doppler response scattering from the dismounts rotary motion to modify the conventional Space-Time Adaptive Processing (STAP). This is used for dismount detection wherein resolution is dictated by the sensor system platform. The feasibility of the modified STAP (M-STAP) is demonstrated by simulations and by applying it to the Gotcha data set for dismount detection.@en