Range‐Doppler surface: a tool to analyse human target in ultra‐wideband radar

Abstract

A novel concept, called range‐Doppler surface (RDS), for human target analysis using ultra‐wideband radar is proposed. The construction of RDS involves range‐Doppler (RD) imaging, adaptive threshold detection and isosurface extraction. A Keystone‐transform‐based range migration compensation approach is proposed to allow high‐quality RD imaging using ultra‐wideband radar. Adaptive threshold detection is applied to detect the extended target in the RD image, and RDS is constructed by extracting an isosurface from a RD video sequence, which is defined as a sequence of RD images. In comparison with micro‐Doppler profiles and high‐resolution range profiles, RDS contains range, Doppler and time information simultaneously. An ellipsoid‐based human motion model is designed for validation. RDSs simulated for different human activities are demonstrated and discussed. Finally, experimental results for single/two‐people walking scenarios are presented to verify the simulation results. The use of the RDS opens a new area of human target analysis.