Two-Color Dual-Polarization Pulsed Bistatic Lidar for Measuring Water Cloud Droplet Size

The concept of a pulsed bistatic lidar for measuring water cloud particle size is presented. The method uses a two-color laser and a receiver with a polarization analyzer located at a suitable scattering angle. The dependence of Mie scattering on scattering angle, wavelength, and polarization is used to derive water cloud droplet size. The measurement was simulated for the C₁ and C₂ clouds, and the technique for determining mode radius was studied. The result shows the lidar system with a two-wavelength laser (1064 nm and 532 nm) and a dual-polarization receiver fixed at a scattering angle of around 178 deg can be used to measure a cloud particle size (mode radius) of 4 to 12 μm. Evaluation of the effect of multiple scattering showed that the method can be applied not only for the measurement at the cloud base but also in the cloud where multiple scattering is not negligible.     

激光雷达精确修正对流层目标定位误差

提出了一种利用纯转动拉曼激光雷达修正对流层目标定位误差的方法,其基本思想是通过接收氮气和氧气的纯转动拉曼回波信号反演大气折射率垂直廓线,根据目标定位误差理论修正不同高度处目标物的总折射角和高度定位修正值.结果表明：通过纯转动拉曼激光雷达反演大气折射率廓线,可较好修正目标定位误差.计算定位误差时得出相同高度处目标物的总折射角和高度定位修正值随视仰角的增加而减小.当视仰角为10°时,位于8 km高度处的目标物总偏折角可达3.15′,高度定位修正值为14.55 m.当视仰角为30°时,相同高度处目标物总偏折角仅 关键词： 激光雷达 定位误差 大气折射指数 大气温度     

Effect of Multiple Scattering in the Lidar Measurement of Tropospheric Aerosol Extinction Profiles

This paper describes the lidar inversion of the tropospheric aerosol extinction profiles under the influence of multiple-scattering effects for various elevation angles of lidar detection. A single-scattering lidar equation is employed to analyze lidar signals with multiple-scattering contributions that are calculated by the Monte Carlo method for given atmospheric conditions. We calculate errors in the optical thickness from the results with and without multiple-scattering effects. It is found that the errors vary in a range of 2#x2013;18#x0025; according to the optical thickness variation of 0.19#x2013;3.8. The dependence of the error on the field-of-view angle of the lidar observation is also discussed.     

Feasibility of a Lidar Utilizing the Glory for Measuring Particle Size of Water Clouds

A new lidar method for measuring water cloud particle size is proposed, and the feasibility of the measurement is discussed. The method utilizes the phenomenon known as the glory which is observed in open air. The proposed lidar consists of a multicolor laser transmitter and two receiver systems looking at the scattering from the target cloud with different scattering angles. Results of the theoretical study show that a system with five laser wavelengths (355, 532, 750, 1064 and 1500 nm) and two receivers located at scattering angles of 180 and 177.5–179 deg is useful for measuring particle size (mode radius of the size distribution) in a range of 4 to 12μm.     

非共轴激光雷达系统参数对几何因子的影响

介绍了非共轴激光雷达几何因子的物理意义,通过数值模拟分析了激光雷达各系统参数包括：激光发散角、接收视场角、光轴间距、光轴失调夹角对几何因子的影响。结果表明：光轴离轴失调对激光雷达影响最大,在系统设计时应极力避免。结合自行研制的CSY2型能见度激光雷达,将理论计算与实验测量值进行对比,实验结果表明两种计算结果基本一致。     

基于激光器输出模式的离轴激光雷达重叠因子计算及近场信号校正

基于几何分析,将离轴激光雷达在近距离范围内望远镜视场与发射激光分布的交叠区分为三种形状,并给出了计算离轴激光雷达重叠因子的解析计算公式.基于该公式和发射激光的高斯分布得到了本实验室Mie散射激光雷达重叠因子随高度的变化曲线.利用该曲线对成都地区在不同天气状况下的雷达回波信号进行了校正.在此基础上,利用Klett算法对校正后的回波信号进行了反演,得到了532 nm波长大气消光系数随高度的变化曲线.结果表明,基于文中校正方法得到的大气消光系数能反映实际的天气情况. 关键词： 离轴雷达 重叠因子 高斯模式     

高光谱分辨率激光雷达鉴频器的设计与分析

提出了利用Fabry-Perot干涉仪的反射场实现高光谱分辨率激光雷达精细探测大气光学参量的新方法和思路.设计了高光谱分辨率的分光系统,并分析了干涉仪反射场的光谱透过特征曲线.结合高光谱激光雷达探测信号特征,讨论分析了谱分离比和瑞利信号透过率随反射率和腔长的变化曲线,同时结合误差传递公式,建立了仿真分析模型,讨论了回波光束发散角和入射角变化对激光雷达探测结果的影响.结果表明,所提出的Fabry-Perot干涉仪反射场可以实现高光谱分辨率激光雷达探测系统的精细分光,同时探测结果误差随回波光束发散角变化不敏感,控制发散角在10 mrad以内,入射角在1.5 mrad以内时,可以实现气溶胶光学参数廓线的高精度探测.     

OFLID: Simple method of overlap factor calculation with laser intensity distribution for biaxial lidar

We proposed a simple overlap factor calculation method based on laser intensity distribution (OFLID), which is simple, practical and can be applied to any specific laser intensity distribution. In order to obtain the laser intensity distribution and parameters of our laser system, we designed a simple experiment to measure them, and then simulated an ideal Gaussian and uniform laser intensity distribution with the measured parameters. The OFLID calculation results indicated that the overlap factor of the measured distribution has approximately half the relative error of that of the ideal Gaussian distribution in the increasing range field for our lidar. Specifically, the laser intensity distribution should be regarded in the overlap correction of the lidar signal. Theoretically, the OFLID method can reduce the error caused by the hypothesis of ideal uniform or Gaussian intensity distributions in the analytical method. In addition, the method is easy to implement for overlap correction, signal simulation and system configuration optimization for biaxial lidar.     

米散射激光雷达测量大气水平能见度

激光雷达作为一种新型的大气观测工具，可以通过直接探测激光与大气相互作用的光辐射信号来定量地反演大气水平能见度，从而成为测量大气水平能见度的主要手段．正在研制的一台基于532nm波长的车载式米散射激光雷达，用于大气能见度的测量；简单介绍了正在研制的激光雷达的技术参数，给出了测量数据的处理方法；利用雷达的技术参数进行了模拟计算，显示了该激光雷达探测大气水平能见度的可靠性，计算误差显示在大气能见度为10km时该激光雷达的测量误差小于16％．     

Accuracy analysis and stabilization design of the Fabry–Perot frequency discriminator in double-edge wind lidars

The measurement error of a double-edge wind lidar caused by a disturbed Fabry–Perot interferometer (FPI) is analyzed. Several error sources such as air pressure variations, temperature changes, and mechanical vibrations are considered in the measurement-error model. The simulation results show that a double-edge wind lidar is so sensitive to environmental variations that the measurement error reaches ±60 m/s if the FPI is not stabilized. In order to compensate the external disturbance acting on the FPI, a nonlinear proportional–integral–derivative (PID) control scheme is designed based on the transmission measurement of the calibration channel. An arc tangent function is used to improve the feedback gain of the usual PID control design. The results show that with the new controller the measurement accuracy of the wind lidar can be improved 4–5 times in comparison with the usual control design, and the range of the measurement error is only ±3 m/s.     

Seed injection and frequency-locked Nd:YAG laser for direct detection wind lidar

The single longitudinal mode operation and frequency stability are essential for the laser transmitter used in the Doppler lidar. We devise a seed injection, frequency tunable and locked Q-switched Nd:YAG laser for the direct detection Doppler lidar. By implementation of the dual-wavelength seed laser and iodine-based PID frequency-locking technique, the frequency-stabilized seed laser is robust to interference and can be locked within 200 kHz for 3 h. The stable output of single longitudinal mode of the frequency-doubled pulsed laser makes it possible to achieve operational wind measurement.     

基于粒子谱的多波长激光雷达近场大气光学参数校正方法

非同轴激光雷达由于存在发射激光与接收望远镜之间的不完全重叠区, 造成近场回波信号与真实大气信号不一致. 对于多波长激光雷达, 这种不一致更为突出和复杂. 然而, 近场大气是人类活动最集中的区域, 因此对多波长激光雷达近场信号进行校正, 对于了解和探究边界层大气具有十分重要的意义. 提出了一种利用粒子谱仪测量近地层气溶胶尺度谱分布并运用Mie 散射理论和低层大气指数衰减规律, 进而直接校正多波长激光雷达消光系数廓线近场信号的新方法. 通过对晴天、多云天气和雾天多波长气溶胶消光系数廓线近场信号的校正, 证明了该方法的可行性和实用性. 该方法着重考虑了多波长激光雷达比的波长依赖性和气溶胶粒子谱分布的天气相关性, 将该方法用于近地层大气消光系数廓线校正, 减少了由于不考虑这两个因素带来的消光系数廓线反演和校正的不确定性. 该方法对于研究不同天气情况下边界层内的大气气溶胶物理、光学特性具有一定的实用价值和借鉴意义.     

基于差分吸收激光雷达的一种新的对流层臭氧浓度反演算法

差分吸收激光雷达探测对流层臭氧浓度时,气溶胶的干扰会造成较大的误差。提出了一种算法,该算法能够同时反演得到对流层臭氧浓度和气溶胶消光系数,减少气溶胶对反演结果的影响。使用实验数据,分析计算了气溶胶雷达比,气溶胶波长指数、标定点气溶胶后向散射比各种变化参数对反演结果的误差。结果表明,1 km以下,各种变化参数造成的反演误差小于8%,1 km以上臭氧浓度误差主要来源于信号和背景噪声,各种参数反演误差小于3%。最后给出了利用该算法得到对流层臭氧浓度和气溶胶的消光系数垂直廓线,并和传统的双波长差分算法反演结果作了比较分析。实验结果表明该算法是可行的,该算法可以减少气溶胶对差分吸收激光雷达测量结果引起的误差。     

大气水汽探测地基差分吸收激光雷达系统设计与性能仿真

为持续获得对流层低层高精度、高时空分辨率的水汽浓度分布数据,提出了一套改进的大气水汽探测地基差分吸收激光雷达系统方案.详细描述了系统主要组成部分,对主要误差进行了分析与估计,并提出了一种差分吸收截面实时测量装置用于补偿发射激光器带来的测量误差.针对该系统,并结合上海地区不同季节的水汽浓度状况,对935 nm水汽吸收带中四个水汽吸收峰的差分光学厚度、雪崩二极管的倍增系数M与回波信噪比的关系、水汽浓度随机测量误差等进行了详细的仿真与分析.仿真结果表明,根据不同的季节和天气状况,可以选择不同的吸收峰以达到最佳探测效果;在300—5000 m高度范围内,最大可以达到300 m的垂直分辨率与5 min的时间分辨率,水汽浓度随机测量误差不超过18%.     

国外差分吸收激光雷达探测大气水汽廓线的研究进展

水汽含量是大气最基本的物理参量之一,大气水汽垂直分布结构对于大气过程的研究十分有意义。差分吸收激光雷达可以昼夜获取高精度、高距离分辨率的大气水汽垂直分布廓线,是最有潜力的探测手段。国际上已经发展出几种类型的差分吸收激光雷达,对它们的发展路径做一梳理,理清发展脉络,具有有益的参考价值。其中,稍早时期水汽差分吸收激光雷达工作在4ν振动吸收带720～730 nm频域,以Alexandrite为主流的激光器或者Nd∶YAG/ruby固体激光器泵浦的染料激光器作为发射光源,光电倍增管仍然可以在这个波段担任探测器,代表性的仪器是法国的机载LEANDRE Ⅱ。此后发展的820 nm波段的水汽差分吸收激光雷达,以钛宝石激光器或钛宝石光放大器为发射机,以硅的雪崩二极管作为探测器,紧跟前置放大和数据的AD采集器,如德国Hohenheim大学的车载扫描激光雷达,可以获得对流层300～4 000 m之间水汽两维或三维分布结构;德国Institutfür Meteorologie und Klimaforschung所建立的差分吸收激光雷达可以探测3～12 km高度之间大气的水汽垂直分布。720和820 nm波段水汽吸收截面较小,更适合于地基或车载的对流层水汽廓线探测。而水汽3ν振动谱935 nm区域吸收截面较大,是为了空间探测大气对流层上、平流层下相对干燥区域的水汽分布而准备的,且可以安排多个探测波长,和一个参考波长,它们对水汽的吸收截面大小呈梯度分布,以应对空间对地观测时不同高度大气水汽浓度的差别。基于种子注入的光参量振荡器或Nd∶YGG全固态激光器的935 nm差分吸收激光雷达,以德国Deutsches Zentrumfür Luft- und Raumfahrt的研究最为成功,推动了欧洲空间局立项发展空间水汽差分吸收激光雷达WALES（Water Vapour Lidar Experiment in Space）,测量从地球表面到平流层下、高垂直分辨率和高精度水汽浓度分布。机载多波长水汽差分吸收激光雷达1999年建立起来,担当空间WALES任务的模拟器,2006年完成了机载飞行试验。以823～830 nm分布布拉格反射半导体激光器和半导体光放大器为核心、采用雪崩二极管盖格光子计数技术的微脉冲差分吸收激光雷达,是差分吸收激光雷达面向商业化、可普及的方向迈出的重要一步,目前已经发展到第四代产品。发射机激光工作波长的长期稳定十分重要而棘手,以窄带连续波种子激光注入脉冲激光器的谐振腔锁定其的腔长,种子激光的波长以水汽的多通道光吸收池为参照标准,或以高精度波长计为误差获取手段,通过负反馈进行主动稳频;其次,需要仔细考虑大气对激光的后向散射光谱线型,显然Rayleigh后向散射光的多普勒展宽与水汽吸收光谱线宽度可以比拟,所以其吸收截面σ_on和σ_off必需加以修正;水汽的空间垂直分布梯度大,因此差分吸收激光雷达应该实行分通道探测。     

Iterative Deconvolution Algorithm for Improving Range Resolution of a CO2-Laser Based Lidar System

An iterative deconvolution algorithm for improving range resolution of long-pulse lidars is proposed, and can be applied to the lidar data obtained with the typical pulse of a CO₂-laser which consists of a gain-switching peak and a long tail. The lidar signal itself with certain temporal shift is set to be the start profile for the unknown maximally resolved profile in the proposed technique, and then is corrected in proportion to the difference between the lidar return calculated with the assumption and the real one. The same process is repeated until the correction is smaller than tolerance. Simulations are made to test the performance of the proposed algorithm. We investigate the errors in the vicinity of data boundary in the retrieved profile when a part of lidar data is absent. The sensitivity of the iteration algorithm to noise in the lidar signals and the laser pulse profile is also numerically determined.     

光束品质因子M2对非同轴激光雷达探测性能的影响

光束品质因子M2直接影响高斯光束传播特性,光纤口径主要约束激光雷达接收系统的视场角.几何重叠因子是影响激光雷达探测性能的重要参量,其主要受激光束的发射特性、接收系统的结构等影响.通过探讨光束品质因子M2及耦合光纤口径对几何重叠因子的影响,为设计激光雷达发射接收系统,改善激光雷达的探测性能提供了优化方案.数值计算及初步实验表明,光纤的耦合效率与光纤的放置位置及光纤口径有很大的关系;几何重叠因子小于1的探测距离受到M2因子的较大影响且随着M2因子的增大而增大.     

基于菲佐干涉仪测风激光雷达的误差分析

详细分析了基于菲佐(Fizeau)干涉仪测风激光雷达利用条纹重心法反演风速时的方法误差和系统噪声引起的测量误差。提出了方法误差的修正方法,推导出了测量误差理论公式。并用蒙特卡罗方法模拟了低对流层的回波信号,并对其进行条纹重心法风速反演。结果表明:方法误差和气溶胶与分子后向散射比有关,噪声引起的测量误差与信号强度和气溶胶与分子后向散射比有关。在0~5 km,高度采用条纹技术测量的风速误差小于1 m/s。     

Differential Discrimination Technique for Incoherent Doppler Lidar to Measure Atmospheric Wind and Backscatter Ratio

A new incoherent Doppler lidar scheme is proposed using a high resolution Mach-Zehnder interferometer discriminator with sinusoidal transmission functions. A two-channel differential discrimination technique is developed which provides high sensitive velocity measurement. The aerosol and molecular backscatter signals can be separately measured and the backscatter ratio obtained. Principle of the measurement is described and the characteristics of this technique are analyzed and compared. Numerical calculation for a moderate size 1.064 μ lidar shows that an accuracy better than 1 m/s for the velocity measurement and 18% for the backscatter ratio measurement can be obtained up to a height of 10 km by a 500 shot average.     

Mie-Rayleigh Doppler Wind Lidar with Two Double-edge Interferometers

The Mie-Rayleigh direct detection Doppler lidar (DDDL) with two double-edge etalons is presented. Fabry-Perot (F-P) etalon is used as the spectral analyzer for Doppler measurement formthe aerosol and molecule backscattered signals. The aerosol and molecular backscattering signals are separated by a polarization isolator with less signal decrement, so this system has about same accuracy as individual Rayleigh Doppler lidar or Mie Doppler lidar system. The simulation on a proposed ground-based DDDL at 532 nm shows that the velocity error is less than 2 m/s below 8 km for a 100 m vertical resolution by Mie channel and 2m/s up to 20 km by Rayleigh channel, respectively.