  Micro-Doppler signature is a potent feature that has been used for target
identification and micro-motion parameter estimation. The extraction of high
frequency micro-Doppler signature from frequency modulated continuous wave
(FMCW) radar along with the target range and velocity is the problem considered
in this article. The severe aliasing of the high micro-Doppler frequency spread
is circumvented by the fast time processing in the proposed method. The use of
range-Doppler (RD) filtering and empirical mode decomposition (EMD) enables
effective out-of-band and in-band noise suppression. Simulation studies and
experimental results present the effectiveness of the proposed approach.
