Chinese Journal of Lasers, Volume. 40, Issue 8, 809004(2013)
Analysis and Feature Extraction of Laser Micro-Doppler Signatures Based on Hilbert-Huang Transforms
In the laser micro-Doppler signature analysis of vibrating targets, the joint time-frequency methods can provide useful information for target detection, classification and recognition. The analysis of the general nonlinear and non-stationary signal with traditional time-frequency analysis method can effectively extract signal characteristics. But there are great limitations in the strong background noise and weak modulation channel conditions. Hilbert-Huang transform (HHT) is employed as a new approach in micro-Doppler analysis. Simulation results in Matlab software show that it can achieve better performance than smoothed pseudo Wigner-Ville distribution (SPWVD) in different channel conditions.
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Peng Mingjin, Li Zhi. Analysis and Feature Extraction of Laser Micro-Doppler Signatures Based on Hilbert-Huang Transforms[J]. Chinese Journal of Lasers, 2013, 40(8): 809004
Category: holography and information processing
Received: Mar. 4, 2013
Accepted: --
Published Online: Jul. 9, 2013
The Author Email: Mingjin Peng (pmj1026@163.com)