Improved calibration method for displacement transformation coefficient in optical and visual measurements

Optical and visual measurement technology is used widely in fields that involve geometric measurements,and among such technology are laser and vision-based displacement measuring modules(LVDMMs).The displacement transformation coefficient(DTC)of an LVDMM changes with the coordinates in the camera image coordinate system during the displacement measuring process,and these changes affect the displacement measurement accuracy of LVDMMs in the full field of view(FFOV).To give LVDMMs higher accuracy in the FFOV and make them adaptable to widely varying measurement demands,a new calibration method is proposed to improve the displacement measurement accuracy of LVDMMs in the FFOV.First,an image coordinate system,a pixel measurement coordinate system,and a displacement measurement coordinate system are established on the laser receiving screen of the LVDMM.In addition,marker spots in the FFOV are selected,and the DTCs at the marker spots are obtained from calibration experiments.Also,a fitting method based on locally weighted scatterplot smoothing(LOWESS)is selected,and with this fitting method the distribution functions of the DTCs in the FFOV are obtained based on the DTCs at the marker spots.Finally,the calibrated distribution functions of the DTCs are applied to the LVDMM,and experiments conducted to verify the displacement measurement accuracies are reported.The results show that the FFOV measurement accuracies for horizontal and vertical displacements are better than±15μm and±19μm,respectively,and that for oblique displacement is better than±24μm.Compared with the traditional calibration method,the displacement measurement error in the FFOV is now 90%smaller.This research on an improved calibration method has certain significance for improving the measurement accuracy of LVDMMs in the FFOV,and it provides a new method and idea for other vision-based fields in which camera parameters must be calibrated.

Method for array gain and phase uncertainties calibration based on ISM and ESPRIT

A new method for array calibration of array gain and phase uncertainties, which severely degrade the performance of spatial spectrum estimation, is presented. The method is based on the idea of the instrumental sensors method （ISM）, two well-calibrated sensors are added into the original array. By applying the principle of estimation of signal parameters via rotational invariance techniques （ESPRIT）, the direction-of-arrivals （DOAs） and uncertainties can be estimated simultaneously through eigen-decomposition. Compared with the conventional ones, this new method has less computational complexity while has higher estimation precision, what＇s more, it can overcome the problem of ambiguity. Both theoretical analysis and computer simulations show the effectiveness of the proposed method.

Practical calibration method for instantaneous polarization radar systems utilizing a metal sphere

A practical calibration method is proposed for instantaneous polarization radar systems.The method only needs one measurement by using a metal sphere.The distortions of system and the actual polarization scattering matrix（PSM）of target can be obtained.First,an instantaneous polarization radar system is presented.The system can obtain PSM by a single pulse echo.The dual-polarization antenna can transmit and receive two orthogonal polarization waves.The multilayer micro-strip patch antenna is adopted for this kind of radar system.Second,based on the multi-port network theory,the operation and system errors of instantaneous polarization radar system are analyzed.By making assumption on the cross-talk factors of antenna,distortion matrices of R and Tare derived.Finally,the calibration method based on instantaneous polarization measurement is introduced.Simulation results show the performance of this calibration method.The values of calibrated PSM are in agreement with the actual ones after calibration.

Calibration of Soil Electromagnetic Conductivity in Inverted Salinity Profiles with an Integration Method

Various calibration methods have been propounded to determine profiles of apparent bulk soil electrical conductivity (ECa) and soil electrical conductivity of a saturated soil paste extract (ECe) or a 1:5 soil water extract (EC1:5) using an electromagnetic induction instrument (EM38). The modeled coefficients, one of the successful and classical methods hitherto, were chosen to calibrate the EM38 measurements of the inverted salinity profiles of characteristic coastal saline soils at selected sites of Xincao Farm, Jiangsu Province, China. However, this method required three parameters for each depth layer. An integration approach, based on an exponential decay profile model, was proposed and the model was fitted to all the calibration sites. The obtained model can then be used to predict EC1:5 at a certain depth from electromagnetic measurements made using the EM38 device positioned in horizontal and vertical positions at the soil surface. This exponential decay model predicted the EC1:5 well according to the results of a one-way analysis of variance, and the further comparison indicated that the modeled coefficients appeared to be slightly superior to, but not statistically different from, this exponential decay model. Nevertheless, this exponential decay model was more significant and practical because it depended on less empirical parameters and could be used to perform point predictions of EC1:5 continuously with depth.

Study on the Drift Calibration Method and Device for the Tin Oxide pH Electrode

Drift phenomenon has been known as the drawback of sensors and causes inaccuracy on the long-term measurement. In general,there are two methods to reduce the drift problem.One is to tune the parameters of the fabrication process to improve the properties of the front-ended device.Another is to compensate the drift phenomenon by adding extra drift compensation circuit or software in the back-ended readout circuit.In this study,a drift calibration method for the potentiometric sensor was presented and the drift calibration method was performed by using the circuit.According to experimental results,the drift phenomenon of the SnO_2 pH electrode was reduced by the drift calibration device.

In situ calibrating optical tweezers with sinusoidal-wave drag force method

We introduce a corrected sinusoidal-wave drag force method （SDFM） into optical tweezers to calibrate the trapping stiffness of the optical trap and conversion factor （CF） of photodetectors. First, the theoretical analysis and experimental result demonstrate that the correction of SDFM is necessary, especially the error of no correction is up to 11.25% for a bead of 5μm in diameter. Second, the simulation results demonstrate that the SDFM has a better performance in the calibration of optical tweezers than the triangular-wave drag force method （TDFM） and power spectrum density method （PSDM） at the same signal-to-noise ratio or trapping stiffness. Third, in experiments, the experimental standard deviations of calibration of trapping stiffness and CF with the SDFM are about less than 50% of TDFM and PSDM especially at low laser power. Finally, the experiments of stretching DNA verify that the in situ calibration with the SDFM improves the measurement stability and accuracy.

LA-ICP-MS Calibrations for Intact Rock Samples with Internal Standard and Modified Constant-Sum Methods

Laser ablation coupled with inductively coupled plasma-mass spectrometry (LA-ICP-MS) calibration was conducted with multiple spot analyses on eleven intact rock samples using both an internal standard (IS) method and a modified constant-sum (MCS) method. Methods were then compared for reported bulk elemental composition of the rocks. The MCS method was based on the sum of eight major elements, which is spatially more stable than one single major ele-ment as used in the IS method, and is quite constant among different rock samples. Calibrations were performed with standard reference materials NIST SRM 610, 612, 614, and 616. Little difference was found between using a single standard and a set of standards, because of the good linearity shown by the reference materials. Comparison of the two calibration methods shows that the MCS method produced better and more stable results than the IS method for heterogeneous samples. With the MCS method, approximately 94% to 95% of the total measurements are within the range of ±100% relative deviation, compared with 82% to 86% with the IS method. The IS method resulted insubstantial overestimations for some rock samples (e.g., 648% for Basalt BCR-2 using NIST SRM 610 as the calibration standard), while the largest deviation with the MCS method was 216% for U in Eagle Ford shale #80 sample. For Quartz latite QLO-1, a relative homogeneous sample, the IS method generated slightly better results than the MCS method. Regardless of method, spatially heterogeneous distribution of elements in the intact rock at the scale of the laser spot is considered to be the main reason for the large relative deviations seen in our work compared to published results.

Optimised Calibration Method for Six-Port Junction

A dual-tone technique is used to produce multi-samples in optimising calibration of six-port junction. More accurate results are achieved by using the least-square method and excluding those samples which may cause bigger errors. A 0.80 -1.10 GHz microwave integrated circuit （MIC） six-port reflectometer is constructed. Nine test samples are used in the measurement. With Engen＇s calibration procedure, the difference between the HP8510 and the six-port reflectrometer is in the order of 0.20 dB/1.5° for most cases, above 0.50 dB/5.0° at boundary frequency. With the optimised method, the difference is less than 0. 10 dB/1.0° for most cases, and the biggest error is 0.42 dB/2.1° for boundary frequencies.

Calibration Method of Magnetometer Based on BP Neural Network

Due to the influence of processing technology and environmental factors, there are errors in attitude measurement with the three-axis magnetometer, and the change of parameters during the operation of the magnetometer in orbit will have a great impact on the measurement accuracy. This paper studies the calibration method of magnetometer based on BP neural network, which reduces the influence of model error on calibration accuracy. Firstly, the error model of the magnetometer and the structural characteristics of the BP neural network are analyzed. Secondly, the number of hidden layers and hidden nodes is optimized. To avoid the problem of slow convergence and low accuracy of basic BP algorithm, this paper uses the Levenberg Marquardt backpropagation training method to improve the training speed and prediction accuracy and realizes the on-orbit calibration of magnetometer through online training of the neural network. Finally, the effectiveness of the method is verified by numerical simulation. The results show that the neural network designed in this paper can effectively reduce the measurement error of magnetometer, while the online training can effectively reduce the error caused by the change of magnetometer parameters, and reduce the measurement error of magnetometer to less than 10 nT.

5-3 A New Method of Energy Calibration of Position Sensitive Silicon Detector

In -decay spectroscopy, there are two steps in the energy calibration of a position sensitive silicon detector(PSSD), the linear calibration and the correction of it. Here we present a new method to correct the linearcalibration. The procedure of this new method is much simpler than that of the traditional one[1]. Moreover, byusing this new method, the energy resolution is improved.

Refined empirical line method to calibrate IKONOS imagery

To extract quantitative biophysical parameters such as leaf biomass and leaf chlorophyll concentration from the remotely sensed imagery, the effect of atmospheric attenuation must be removed. The refined empirical line (REL) method was used to calibrate the IKONOS multispectral imagery. The IKONOS digital numbers (DN) were converted to the at-satellite re- flectance, then the linear relation between at-satellite reflectance and surface spectral reflectance (ρλ) was derived from six bright targets of known reflectance in the image, and modelled estimates of the image reflectance at ρλ=0. Validation targets were used to test the feasibility of REL method. The mean relative errors between ρλ retrieved from IKONOS image using REL method and ground-measured ρλ were 11%, 13%, 3% and 5% in the IKONOS blue, green, red and near-infrared (NIR) respectively. When dark targets are unavailable or measurement of dark target is inconvenient, the REL method was most crucial for retrieving surface spectral reflectance. The REL offers a simple approach for quantitative retrieval of biophysical parameters from IKONOS im- agery.

Empirical Line Method Using Spectrally Stable Targets to Calibrate IKONOS Imagery

由使用幽灵似地稳定的目标，实验的线(EL ) 方法被测试改正多光谱在 Putuo 山上获得的 IKONOS 形象，浙江，中国。一系列刻度目标，随着时间的过去幽灵似地稳定，被选择建立线性预言的方程。随后，一系列幽灵似地稳定的确认目标被选择估计方程的精确性。并且，确认目标，随着时间的过去幽灵似地不稳定，被用来测试使用 EL 方法校准档案的遥远地察觉到的数据的可行性。为每个目标的地面反射大小用一个 ASD FieldSpec 分光辐射函数被做。Trimble GeoXT？与亚米精确性联合起来的 GPS 被用来精确地估计目标位置。为四个 IKONOS 乐队的线性回归方程被导出。为蓝、绿、红的乐队的决心的系数都比 0.9800 大，它为近红外线的乐队是 0.9697。合理结果能被使用幽灵似地稳定的目标获得，这被结束。

强流脉冲束流位置探测器标定技术

电子直线感应加速器性能提升对束流探测器提出了高精度测量要求,由此不仅要求高精度的探测器设计装配技术,而且也要求探测器的准确标定。从强流脉冲束流位置探测器测量原理出发,从理论和实验两方面开展强流脉冲束流位置探测器标定技术研究。在理论上采用解析方法,分析了不同的计算处理方法和标定方法的标定效果,提出了特征平面标定,在建立的位置标定系统上,对用于多脉冲电子直线感应加速器的No.23电阻环进行了标定实验研究,实验结果验证了理论分析结果,根据理论和实验研究结果,确定了强流脉冲束流位置探测器标定方法。

高精度地形星载激光测高仪在轨几何标定方法

激光测高仪数字化标定方法由于标定频次高、人力物力消耗少等突出性优点越来越受到关注。本文提出了一种两步法的激光测高仪数字化标定方法,针对线性体制激光测高仪的几何定位模型,构建了关于翻滚角、俯仰角和测距系统误差的几何标定模型,并使用公开参考地形数据SRTM与高精度机载LiDAR点云进行了标定试验。与GF-14实际外场面探测器试验标定的数据比较分析。结果显示,本文提出的几何标定方法与地面探测器标定参数测角差异在0.5角秒以内,测距差异在0.2 m以内。通过独立数据验证标定结果的高程精度,本文提出的数字化标定方法和探测器标定方法的足印高程偏差表现出良好的一致性,两种方法标定所获取的足印高程与高精度机载点云高程的RMSE均优于0.3 m。本文方法在保证精度的同时,减少了人力物力的消耗,为星载激光测高仪在轨常态化标定提供了新的思路和方法。

利用远震面波估计凉山州地震综合观测钻孔应变仪的耦合系数

分量钻孔应变观测中的耦合系数(A、B)对于定标应变观测量具有重要意义,本文通过中国地震科学实验场深井地震综合观测项目积累的地震仪与应变仪共点观测地震波资料,验证了钻孔应变观测面波标定方法的可行性.利用三个观测台站的多个远震记录,开展了多频点面波标定实验,所获取的耦合系数对比理论固体潮标定结果具有更好的稳定行和合理性.本文的研究结果表明,提高现有钻孔应变观测台站的采样率至不少于1 Hz,深入开展远震应变地震波和共点(或近场)地震仪的面波记录对比研究,有利于获取全频段的耦合系数结果,对于提高应变观测数据的准确度及其深入应用具有重要意义.

控释肥颗粒群仿真接触参数标定与试验

接触参数影响控释肥颗粒离散元仿真结果。为了精准模拟控释肥颗粒力学行为与运动规律,本文基于离散元法对控释肥颗粒的接触参数进行标定与试验。首先,建立控释肥离散元基础模型,并利用台架和仿真试验相结合的方法,在EDEM中对控释肥颗粒与PVC板之间接触参数进行标定。其次,通过碰撞弹跳试验、斜面滑移试验和斜面滚动试验测得控释肥颗粒与PVC板之间的碰撞恢复系数、静摩擦因数和滚动摩擦因数分别为0.539、0.507和0.105。最后,通过堆积试验、最陡爬坡试验和正交旋转组合试验,得到控释肥颗粒间的碰撞恢复系数、静摩擦因数和滚动摩擦因数分别为0.38、0.25和0.09,并通过无底圆筒提升试验和排肥台架试验进行验证。试验结果表明,堆积角实际值与仿真结果的相对误差为1.54%,排肥量实际值与仿真结果4种转速下的相对误差分别为4.38%、4.23%、4.41%、4.36%,所标定的控释肥接触参数精准有效,可为控释肥离散元仿真提供数据和模型支撑。

基于离散元法的面粉颗粒接触参数标定试验

为设计和优化面粉输送设备,应用离散元法对面粉进行准确地工程建模和分析,需要对其接触参数进行必要的标定。该研究依据颗粒缩放理论,用“Hertz-Mindlin with Johnson-Kendall-Roberts”接触模型表征面粉颗粒间黏性的影响,提出了一种基于静/动态休止角的接触参数标定方法。运用正交试验方法,对接触参数的敏感性和方差分析,表明面粉颗粒间的滚动摩擦系数、面粉颗粒与不锈钢表面间的静摩擦系数、表面能对静态休止角的影响极显著(P<0.01),并且多组接触参数都可以模拟出与试验相同的静态休止角。进一步研究表明,面粉颗粒与不锈钢表面间的静摩擦系数的合理取值范围为0.2~0.4。通过2种填充率、4种转速下基于动态休止角的参数标定,将其中与试验最为吻合的一组参数作为标定结果,其值如下:面粉颗粒之间恢复系数为0.6、面粉颗粒之间静摩擦系数为0.2、面粉颗粒之间滚动摩擦系数为0.1、面粉颗粒与不锈钢容器表面之间恢复系数为0.6、面粉颗粒与不锈钢容器表面之间静摩擦系数为0.6、面粉颗粒与不锈钢容器表面之间滚动摩擦系数为0.5、表面能为0.12 J/m^(2)。使用该组参数对矩形容器中物料自由坍塌试验进行仿真,其结果与试验结果相符,验证了该标定方法的有效性。该研究提出的标定方法简单、易执行,对粉料输送设备的设计及优化具有一定的工程应用价值。

基于荧光原理的叶绿素a传感器校准方法研究

利用传感器对水体叶绿素a浓度进行原位测量是获取实时、连续、长时间序列数据的重要手段。本文在对RBR传感器和ECO (Environmental Characterization Optics)传感器进行原理分析和线性度、稳定性、重复性等基本性能测试的基础上,利用单一藻种培养液和2020年南海北部海域现场数据校准传感器,并对新的传感器校准系数进行验证。结果表明:两台传感器使用新系数比原出厂系数的叶绿素a浓度测量准确度有明显提高。RBR传感器现场数据校准系数的计算结果与叶绿素a标准值误差最小,平均绝对误差从1.93μg/L减小到0.35μg/L,平均相对误差从55.1%减小到10.9%;ECO传感器藻液系数明显优于出厂系数和现场数据校准系数的计算结果,平均绝对误差从1.76μg/L减小到0.59μg/L,平均相对误差从50.3%减小到15.1%。传感器测量准确度的提高,可为海洋环境监测、海洋生态灾害预警等工作获取真实可靠数据提供支撑。

一种紫外成像仪的量值溯源方法及校准装置

提出了一种适用于紫外成像仪的量值溯源方法,开发了一套整体的紫外成像仪校准装置,并针对日盲型紫外成像仪给出了校准数据,对紫外成像仪的有效量值溯源提供了参考。