کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1542936 996738 2006 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fourier-wavelet regularized deconvolution (ForWaRD) for lidar systems based on TEA–CO2 laser
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد مواد الکترونیکی، نوری و مغناطیسی
پیش نمایش صفحه اول مقاله
Fourier-wavelet regularized deconvolution (ForWaRD) for lidar systems based on TEA–CO2 laser
چکیده انگلیسی

Lidar is an efficient tool for remotely measuring physical quantities or detecting targets. To improve the range resolution in long pulse lidars, such as lidar systems based on TEA–CO2 lasers, deconvolution methods were used by previous investigators. Deconvolution is a noise sensitive process. In order to avoid noise amplification during the deconvolution process, the Fourier–wavelet regularized deconvolution method is used to deconvolve and denoise the back-scattered lidar signal simultaneously. This method is applied to lidar systems based on the TEA–CO2 laser and the results are compared to nitrogen tail clipping method. Numerical simulation shows, in comparison to the clipping nitrogen tail technique, by using the ForWaRD method; the range resolution and working distance of the lidar is improved and the clipping tail apparatus is also eliminated.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics Communications - Volume 257, Issue 1, 1 January 2006, Pages 97–111
نویسندگان
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