Title :
Self-similarity analysis on human backscattering in radar
Author :
Yuan He ; Le Chevalier, F. ; Yarovoy, A.G.
Author_Institution :
Sect. Microwave Sensing, Signals & Syst., Delft Univ. of Technol., Delft, Netherlands
Abstract :
The self-similarity of Human target backscattering in radar is analyzed. The human echo of typical radar signals (i.e., range profiles, micro-Doppler image and range-Doppler video sequence) is modeled by motion capture data. Then the self-similarity matrices (SSM) of the radar signals are constructed and compared. Since the SSM of range-Doppler video sequence exhibits periodic information in a more simple manner, it is further analyzed to demonstrate the angle-invariant characteristic of SSM. Finally, the periodicity of different activities (i.e., walking and running) are extracted from SSM and compared.
Keywords :
Doppler radar; backscatter; gait analysis; radar signal processing; human backscattering; motion capture data; radar signals; range Doppler video sequence; self similarity analysis; self similarity matrices; Doppler effect; Legged locomotion; Radar cross-sections; Radar imaging; Vectors; Video sequences; gait periodicity; human backscattering; radar signal; self-similarity;
Conference_Titel :
Radar Conference (EuRAD), 2013 European
Conference_Location :
Nuremberg