Multiple target tracking and separation technique based on texture information in range-time image using ultra-wideband radar

Abstract

Multiple target tracking and separation techniques using ultra-wide-band (UWB) radar are promising for use in robotic and security-related applications. Some methods for tracking and separation of echoes from multiple targets using radar texture information have been proposed. However, the conventional methods cannot be implemented in real time applications due to its iterative nature. To resolve this problem, we propose a technique that can be used in real time applications. First, we estimate the required target velocities using the texture method and multiple target velocities using an extended texture method that can determine the velocities of two targets. Second, we estimate the number of targets that exist at each pixel. Finally, we label each pixel to associate pixels based on their estimated velocities and positions. Through measurements, the proposed method succeeded in accurately tracking and separating the echoes from two pedestrians in real time.