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Proceedings Paper

Nonlinearity correction and dispersion analysis in FMCW laser radar
Author(s): Hao Zhao; Bingguo Liu; Guodong Liu; Fengdong Chen; Zhitao Zhuang; Yahui Yu; Yu Gan
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Paper Abstract

Frequency Modulated Continuous Wave laser radar is one of the most important ways to measure the large-size targets , combining the advantages of laser with conventional FMCW radar. Dispersion compensation and non-linear calibration are two key aspects in FMCW laser radar measurement. The paper studies the method of frequency-sampling to correct the Nonlinearity and analyzes the importance of dispersion compensation. We set up experimental verification platform, choose 1550nm band continuously tunable external cavity infrared laser as the light source, use all-fiber optical device structures, choose balanced detectors as photoelectric conversion, and finally acquire data with high speed PCI-E data acquisition card, write a measurement software with Labview. We measured the gage block 1 meter away. The experiment results show that the frequency sampling method correct the Nonlinearity well and there is a significant impact on the accuracy because of the fiber dispersion, dispersion must be compensated to obtain high accuracy. The experiment lays the foundation for further research on FMCW Laser radar.

Paper Details

Date Published: 3 December 2014
PDF: 11 pages
Proc. SPIE 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors, 929729 (3 December 2014); doi: 10.1117/12.2075446
Show Author Affiliations
Hao Zhao, Harbin Institute of Technology (China)
Bingguo Liu, Harbin Institute of Technology (China)
Guodong Liu, Harbin Institute of Technology (China)
Fengdong Chen, Harbin Institute of Technology (China)
Zhitao Zhuang, Harbin Institute of Technology (China)
Yahui Yu, Harbin Institute of Technology (China)
Yu Gan, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 9297:
International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors
Jurgen Czarske; Shulian Zhang; David Sampson; Wei Wang; Yanbiao Liao, Editor(s)

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