Foliage-penetration human tracking by multistatic radar
Human target detection and tracking have great potential in military, safety, security and entertainment applications. In this paper, a complete processing procedure is proposed for human tracking in foliage-penetration environment by multistatic radar. It consists of five main steps, including clutter suppression, target detection, measurement estimation, target localization and target tracking. Exponential average background subtraction is applied for clutter suppression. Ordered statistics constant false alarm rate (OS-CFAR) detector is used to detect targets in the range profile. The range measurement estimation is realized by a window filter. The S-D assignment algorithm is introduced for multi-target localization. Target tracking is realized by a Kalman filter based multi-target tracking (MTT) system. The experimental results verify the effectiveness of the proposed human tracking procedure.