Feature Analysis and Extraction of Complex Motion Target Based on Coherent Laser Remote Sensing Detection


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Vibration features of moving targets can reflect their detailed characteristics, which have important military and civil values. Coherent lidar is the preponderant method of target detection, because of its advantages such as high measurement accuracy and ability of long-distant non-destructive measurement, which is appropriate for detecting the vibration information of the target through remote sensing. Traditional analysis of moving target’s vibration always contained only one motion mode, which could not reflect the real complex motion of the target. This paper proposed a novel model of complex moving target’s vibration for coherent laser remote sensing detection. Considering the vibration signal is non-linear and non-stationary, Hilbert-Huang transform (HHT) was applied to the decomposition of the signal. After decomposition, the energy of the vibrating signal in some inherent frequency band was selected as the feature of the signal. Simulations and experiments were carried out to verify the divisibility of the feature, which could support the identification of target vibration feature based on coherent laser remote sensing detection.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




Z. Li et al., "Feature Analysis and Extraction of Complex Motion Target Based on Coherent Laser Remote Sensing Detection", Advanced Materials Research, Vols. 588-589, pp. 1076-1080, 2012

Online since:

November 2012




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