Assessment of lidar inversion errors for homogeneous atmospheres
The inversion of lidar returns from homogeneous atmospheres has been done customarily through the well-known slope method. The logarithmic operation over the range-corrected and system-normalized received signal used in this method introduces a bias in the statistics of the noise-affected processed...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1998 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/1893 |
| Acceso en línea: | https://hdl.handle.net/2117/1893 |
| Access Level: | acceso abierto |
| Palabra clave: | Optical radar Laser beams Atmospheric effects Geophysics Meteorological optics Error analysis Geophysical signal processing Optical information processing Remote sensing by laser beam lidar inversion errors Homogeneous atmospheres Noise-affected processed signal Least-squares iterative procedure Low signal-to-noise ratio Radar òptic Làsers -- Efectes atmosfèrics Geofísica Òptica meteorològica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció |
| Sumario: | The inversion of lidar returns from homogeneous atmospheres has been done customarily through the well-known slope method. The logarithmic operation over the range-corrected and system-normalized received signal used in this method introduces a bias in the statistics of the noise-affected processed signal that can severely distort the estimates of the atmospheric attenuation and backscatter coefficients under measurement. It is shown that a fitting of the theoretically expected exponential signal to the range-corrected received one, using as the initial guess the results provided by the slope method and a least-squares iterative procedure, can yield enhanced accuracy under low signal-to-noise ratios and especially in moderate-to-high extinction conditions. |
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