Title :
Empirical mode decomposition of micro-Doppler signature
Author :
Cai, Chengjie ; Liu, Weixian ; Fu, Jeffrey S. ; Lu, Lilong
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
Micro-Doppler induced by mechanical vibration or rotation of structures in a radar target is potentially useful for target detection, classification and recognition. In order to exploit the time-varying micro-Doppler signature, time frequency analysis techniques are used. However, they can not represent this useful information clearly all the time. In this paper, we introduce a novel algorithm to extract the micro-Doppler signature using a technique called empirical mode decomposition. Both simulation and the experimental results indicate that EMD provides us an effective way to give better time frequency representation of the micro-Doppler signature.
Keywords :
Doppler radar; radar detection; radar signal processing; radar target recognition; time-frequency analysis; vibrations; EMD; empirical mode decomposition; mechanical vibration; radar target; target classification; target detection; target recognition; time frequency analysis techniques; time-varying microDoppler signature; Data mining; Doppler radar; Helicopters; Object detection; Radar antennas; Rotors; Spline; Target recognition; Time frequency analysis; Vibrations;
Conference_Titel :
Radar Conference, 2005 IEEE International
Print_ISBN :
0-7803-8881-X
DOI :
10.1109/RADAR.2005.1435954