Paper
30 April 2009 Optical autocovariance direct detection lidar for simultaneous wind, aerosol, and chemistry profiling from ground, air, and space platforms
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Abstract
Optical Autocovariance Wind Lidar (OAWL) is a new direct-detection interferometric Doppler lidar approach that inherently enables simultaneous acquisition of multiple-wavelength High Spectral Resolution Lidar calibrated aerosol profiles (OA-HSRL). Unlike other coherent and direct detection Doppler systems, the receiver is self referencing; no specific optical frequency lock is required between the receiver and transmitter. This property facilitates frequency-agile modalities such as DIAL. Because UV laser wavelengths are accommodated, a single transmitter can simultaneously support winds, Raman, fluorescence, DIAL, and HSRL receiver channels, each sampling identical spatial and temporal volumes. LOS species flux measurements are acquired without the usual spatial and temporal sampling errors (or cost, volume, mass, power, and logistical issues) incurred by separate lidar systems, or lidars in combination with other remote or in-situ sensors. A proof of concept (POC) OAWL system has been built and demonstrated at Ball, and OAHSRL POC is in progress. A robust multi-wavelength, field-widened OAWL/OA-HSRL system is under development with planned airborne demonstration from a WB-57 in late 2010. Detailed radiometric and dynamic models have been developed to predict performance in both airborne and space borne scenarios. OA theory, development, demonstration status, advantages, limitations, space and airborne performance, and combined measurement synergies are discussed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian J. Grund, James Howell, Robert Pierce, and Michelle Stephens "Optical autocovariance direct detection lidar for simultaneous wind, aerosol, and chemistry profiling from ground, air, and space platforms", Proc. SPIE 7312, Advanced Environmental, Chemical, and Biological Sensing Technologies VI, 73120U (30 April 2009); https://doi.org/10.1117/12.824204
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Cited by 12 scholarly publications.
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KEYWORDS
Backscatter

Aerosols

LIDAR

Receivers

Doppler effect

Signal attenuation

Sensors

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