核科学与技术学院机构知识库

Institutional Repository, School of Nuclear Science and Technology

 

兰州大学机构库  > 核科学与技术学院  > 期刊论文
题名: A nonlinear merging method of analog and photon signals for CO2 detection in lower altitudes using differential absorption lidar
作者: Qi, Z; Zhang, T; Han, G; Li, DC; Ma, X; Gong, W
收录类别: SCIE
出版日期: 2017-04-01
刊名: OPTICS COMMUNICATIONS
卷号: 388, 页码:68-76
出版者: ELSEVIER
出版地: AMSTERDAM
英文摘要: The current acquisition system of a lidar detects return signals in two modes (i.e., analog and photon counting); resulting in the lower (below 1500 m) and upper (higher than 1100 m) atmospheric parameters need analog and photon counting signal to retrieve, respectively. Hence, a lidar cannot obtain a continuous column of the concentrations of atmospheric components. For carbon cycle studies, the range-resolved concentration of atmospheric CO2 in the lower troposphere (below 1500 m) is one of the most significant parameters that should be determined. This study proposes a novel gluing method that merges the CO2 signal detected by ground-based DIAL in the lower troposphere. Through simulation experiments, the best uniform approximation polynomial theorem is utilized to determine the transformation coefficient to correlate signals from the different modes perfectly. The experimental results (both simulation experiments and actual measurement of signals) show that the proposed method is suitable and feasible for merging data in the region below 1500 m. Hence, the photon-counting signals whose SNRs are higher than those of the analog signals can be used to retrieve atmospheric parameters at an increased near range, facilitating atmospheric soundings using ground-based lidar in various fields.
关键词: Differential absorption lidar ; Carbon dioxide ; Nonlinear optical signal processing
作者部门: [Qi, Zhong ; Zhang, Teng ; Li, Dongcang] Lanzhou Univ, Sch Nucl Sci & Technol, Lanzhou 730000, Peoples R China ; [Han, Ge] Wuhan Univ, Int Sch Software, Wuhan 430079, Peoples R China ; [Zhang, Teng ; Gong, Wei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Louyu Rd 129, Wuhan 430079, Peoples R China ; [Ma, Xin] Wuhan Univ, Elect Informat Sch, Wuhan 430079, Peoples R China
通讯作者: Zhang, T (reprint author), Lanzhou Univ, Sch Nucl Sci & Technol, Lanzhou 730000, Peoples R China. ; Han, G (reprint author), Wuhan Univ, Int Sch Software, Wuhan 430079, Peoples R China. ; Zhang, T (reprint author), Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Louyu Rd 129, Wuhan 430079, Peoples R China.
学科分类: Optics
文章类型: Article
所属项目编号: National Natural Science Foundation of China [41127901, 41601351] ; China Postdoctoral Science Foundation [2016M592389] ; Fundamental Research Funds for the Central Universities [2042016kf0032]
所属项目名称: 国家自然科学基金项目 ; 中国博士后科学基金
项目资助者: NSFC ; CPSF
语种: 英语
DOI: 10.1016/j.optcom.2016.11.071
ISSN号: 0030-4018
WOS记录号: WOS:000391205700009
IR记录号: WOS:000391205700009
第一机构:
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.lzu.edu.cn/handle/262010/189193
Appears in Collections:核科学与技术学院_期刊论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Qi, Z,Zhang, T,Han, G,et al. A nonlinear merging method of analog and photon signals for CO2 detection in lower altitudes using differential absorption lidar[J]. OPTICS COMMUNICATIONS,2017,388:68-76.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Altmetrics Score
 
Google Scholar
Similar articles in Google Scholar
[Qi, Z]'s Articles
[Zhang, T]'s Articles
[Han, G]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Qi, Z]‘s Articles
[Zhang, T]‘s Articles
[Han, G]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Email:
Passwd
验 证:
换一张
Have you forgotten your password? Log In
Copyright © 2007-2017  兰州大学 - Feedback
Powered by CSpace