Inversion techniques for the differential image motion lidar

Ian Gatland; John M. Stewart; Gary G. Gimmestad

doi:10.1117/12.820314

2 May 2009 Inversion techniques for the differential image motion lidar

Ian Gatland, John M. Stewart, Gary G. Gimmestad

Proceedings Volume 7324, Atmospheric Propagation VI; 73240C (2009) https://doi.org/10.1117/12.820314
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

The Georgia Tech Research Institute (GTRI) has developed a turbulence profiling lidar system based on the differential image motion concept. The lidar measures a profile of mean square wave front tilt differences by focusing a laser guide star at multiple ranges and then computing the differential image motion variance of guide star images collected through multiple sub-apertures on the receiver. Direct inversion of the resulting integrals suffers from high noise gain, so several different techniques were investigated to determine the refractive turbulence profile. The best inversion method uses a non-linear fitting algorithm to fit a collection of functions to the differential image motion profile. Each of the fitted functions then maps to a profile of refractive turbulence.

Citation Download Citation

Ian Gatland, John M. Stewart, and Gary G. Gimmestad "Inversion techniques for the differential image motion lidar", Proc. SPIE 7324, Atmospheric Propagation VI, 73240C (2 May 2009); https://doi.org/10.1117/12.820314

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