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Noise analysis and signal-to-noise ratio model of gain modulation laser imaging

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Gain modulation imaging technique is one of the prominent schemes for scannerless lidar. By controlling the gate width, it's easy to suppress backscatter noise and make the image more accurately. Imaging range and accuracy of gain modulation laser imaging become a research focus at present. According to the principle of imaging, the signal energy and the noise energy reaching the imager can be found. Further signal-to-noise ratio can be obtained. Previous theoretical models consider only linear gain condition. However the influence of laser pulse width and other factors are less taken into consideration. These models will have a certain deviation with the actual one. By simulating the nonlinear gain with consideration of the laser pulse width and lambert spherical radiation, more accurate SNR model of gain modulation laser imaging is obtained. On this basis, the established SNR model can be used to estimate the experimental distance with good imaging effect. It provides the theoretical basis for subsequent experiment system parameter selection and image processing.

Original languageEnglish
Title of host publicationAOPC 2015
Subtitle of host publicationImage Processing and Analysis
EditorsWeiping Yang, Chunhua Shen, Honghai Liu
PublisherSPIE
ISBN (Electronic)9781628419009
DOIs
StatePublished - 2015
EventApplied Optics and Photonics, China: Image Processing and Analysis, AOPC 2015 - Beijing, China
Duration: 5 May 20157 May 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9675
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplied Optics and Photonics, China: Image Processing and Analysis, AOPC 2015
Country/TerritoryChina
CityBeijing
Period5/05/157/05/15

Keywords

  • Gain modulation
  • Imaging system
  • Noise
  • Signal energy
  • Signal to noise ratio

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