Title :
Analysis of radar human gait signal based on Fractional Fourier transforms
Author_Institution :
Tianjin Eng. Center for Fieldbus Control Technol., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
The human gait radar echo presents non-stationary time frequency features. Conventional algorithms based on time-frequency analysis can not extract the detailed feature caused by motion of different parts of human leg and arm. The Fractional Fourier transform is applied to extract the detail features of gait. The Fractional Fourier transform spectrum generated from real measured data is presented and analyzed.
Keywords :
Fourier transforms; echo; feature extraction; gait analysis; radar signal processing; time-frequency analysis; fractional Fourier transforms; gait feature extraction; human arm motion; human gait radar echo; human leg motion; nonstationary time frequency features; radar human gait signal analysis; time-frequency analysis; Chirp; Feature extraction; Fourier transforms; Humans; Radar; Spectrogram; Time frequency analysis; FrFT; gait; radar; time frequency analysis;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4577-1351-4
