Pose Estimation Methodology for Target Identification and Tracking
Ground Moving Target Indicator (GMTI) and High Resolution Radar (HRR) can track position and velocity of ground moving target. Pose, angle between position and velocity, can be derived from estimates of position and velocity and it is often used to reduce the search space and hence increase likelihood of target identification (ID) and Automatic Target Recognition (ATR) algorithms. Due to low resolution in some radar systems, the GMTI estimated pose may exhibit large errors contributing to a faulty identification of potential targets. Our goal in this paper is to define better methodology to improve pose estimate, using real time target signature versus stored signatures. Besides applications in target tracking, there are numerous commercial applications in machine learning, augmented reality and body tracking.