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题名:
Low-Pass Parabolic FFT Filter for Airborne and Satellite Lidar Signal Processing
作者: Jiao, Zhongke1; Liu, Bo1,2; Liu, Enhai1; Yue, Yongjian1
刊名: SENSORS
出版日期: 2015-10-01
卷号: 15, 期号:10, 页码:26085-26095
关键词: (010 ; 3640) lidar ; (010 ; 1615) clouds ; signal ; noise
DOI: 10.3390/s151026085
文章类型: Article
英文摘要: In order to reduce random errors of the lidar signal inversion, a low-pass parabolic fast Fourier transform filter (PFFTF) was introduced for noise elimination. A compact airborne Raman lidar system was studied, which applied PFFTF to process lidar signals. Mathematics and simulations of PFFTF along with low pass filters, sliding mean filter (SMF), median filter (MF), empirical mode decomposition (EMD) and wavelet transform (WT) were studied, and the practical engineering value of PFFTF for lidar signal processing has been verified. The method has been tested on real lidar signal from Wyoming Cloud Lidar (WCL). Results show that PFFTF has advantages over the other methods. It keeps the high frequency components well and reduces much of the random noise simultaneously for lidar signal processing.
WOS标题词: Science & Technology ; Physical Sciences ; Technology
类目[WOS]: Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
研究领域[WOS]: Chemistry ; Electrochemistry ; Instruments & Instrumentation
关键词[WOS]: RAMAN LIDAR ; WATER-VAPOR ; CLOUDS
收录类别: SCI
项目资助者: 100 Talents Program of the Chinese Academy of Sciences ; National Science Foundation (NSF)(AGS-1337599)
语种: 英语
WOS记录号: WOS:000364242300073
ISSN号: 1424-8220
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/3767
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
2.Univ Wyoming, Dept Atmospher Sci, Laramie, WY 82071 USA

Recommended Citation:
Jiao, Zhongke,Liu, Bo,Liu, Enhai,et al. Low-Pass Parabolic FFT Filter for Airborne and Satellite Lidar Signal Processing[J]. SENSORS,2015,15(10):26085-26095.
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