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Journal of Spectroscopy
Volume 2015 (2015), Article ID 937403, 5 pages
Research Article

High-Speed Target Identification System Based on the Plume’s Spectral Distribution

1School of Information and Communication Engineering, North University of China, Taiyuan, Shanxi 030051, China
2School of Mechatronics Engineering, North University of China, Taiyuan, Shanxi 030051, China

Received 15 September 2015; Revised 12 November 2015; Accepted 15 November 2015

Academic Editor: Yu Shang

Copyright © 2015 Wenjie Lang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In order to recognize the target of high speed quickly and accurately, an identification system was designed based on analysis of the distribution characteristics of the plume spectrum. In the system, the target was aligned with visible light tracking module, and the spectral analysis of the target’s plume radiation was achieved by interference module. The distinguishing factor recognition algorithm was designed on basis of ratio of multifeature band peaks and valley mean values. Effective recognition of the high speed moving target could be achieved after partition of the active region and the influence of target motion on spectral acquisition was analyzed. In the experiment the small rocket combustion was used as the target. The spectral detection experiment was conducted at different speeds 2.0 km away from the detection system. Experimental results showed that spectral distribution had significant spectral offset in the same sampling period for the target with different speeds, but the spectral distribution was basically consistent. Through calculation of the inclusion relationship between distinguishing factor and distinction interval of the peak value and the valley value at the corresponding wave-bands, effective identification of target could be achieved.