PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 16, 20260 citations

Detection of molecular backscattering with fiber based coherent heterodyne lidar

View Full Paper
KKKim KalmankoskiJTJuha Toivonen

Key Points

  • The central aim is to simultaneously measure aerosol and molecular backscattering using a fiber-based coherent lidar.
  • Utilized a coherent lidar instrument that operates at high repetition rates.
  • Employed a tapered fiber amplifier to achieve peak pulse power of 1.9 kW at 1053 nm.
  • Recorded and analyzed backscattering spectra at multiple altitudes up to 1 km.
  • Applied a heterodyne receiver for high spectral resolution.
  • Successfully detected both aerosol and molecular backscattering simultaneously.
  • Achieved spectral analysis within a 1.5 GHz bandwidth.
  • Demonstrated high resolution in backscattering and extinction analysis.

Abstract

Extracting calibrated backscatter and extinction values from any lidar requires simultaneous measurement of aerosol and molecular backscattering. The heterodyne receiver acting as a high spectral resolution receiver has previously shown promising results with low repetition rate and high pulse energy lidar. We present the detection of aerosol and molecular backscattering simultaneously with a fiber based, high repetition rate, coherent lidar instrument utilizing a tapered fiber amplifier that yields to a pulse peak power of 1.9 kW at the wavelength of 1053 nm. Further, our receiver bandwidth of 1.5 GHz enables the spectral analysis of aerosol and molecular scattering spectra, which are recorded and analyzed for multiple altitudes up to 1 km. The results demonstrate the potential of coherent heterodyne lidars to extend their capabilities toward backscattering and extinction analysis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kalmankoski et al. (2026) studied this question.

synapsesocial.com/papers/69e07d8f2f7e8953b7cbe8eehttps://doi.org/10.1051/epjconf/202636217002/pdf
Ask AI
Helpful
Bookmark
Share
View Full Paper