타이틀 |
Noise Whitening in Airborne Wind Profiling With a Pulsed 2-Micron Coherent Doppler Lidar at NASA Langley Research Center |
저자 |
Beyon, Jeffrey Y.;; Arthur, Grant E.;; Koch, Grady J.;; Kavaya, Michael J. |
Keyword |
ACOUSTICS;; AIRBORNE EQUIPMENT;; ALGORITHMS;; DOPPLER RADAR;; DROPSONDES;; FAST FOURIER TRANSFORMATIONS;; LINE OF SIGHT;; METEOROLOGICAL INSTRUMENTS;; NOISE SPECTRA;; OPTICAL RADAR;; REAL TIME OPERATION;; SIGNAL TO NOISE RATIOS;; SPECTRUM ANALYSIS;; WIND MEASUREMENT;; WIND PROFILES |
URL |
http://hdl.handle.net/2060/20120007709 |
보고서번호 |
NF1676L-13637 |
발행년도 |
2012 |
출처 |
NTRS (NASA Technical Report Server) |
ABSTRACT |
Two different noise whitening methods in airborne wind profiling with a pulsed 2-micron coherent Doppler lidar system at NASA Langley Research Center in Virginia are presented. In order to provide accurate wind parameter estimates from the airborne lidar data acquired during the NASA Genesis and Rapid Intensification Processes (GRIP) campaign in 2010, the adverse effects of background instrument noise must be compensated properly in the early stage of data processing. The results of the two methods are presented using selected GRIP data and compared with the dropsonde data for verification purposes. |