烟气覆盖表面红外温度测量的实验分析

为了研究辐射参与性烟气对红外测温法金属壁面温度测量的影响,首先根据实验中红外探测器测量得到的表面温度分布的特点,建立了一维表面红外测温模型;然后根据红外热成像测温原理及辐射传输理论,利用源项多流法分析模型计算了烟气覆盖表面在不同烟气厚度和不同表面温度下红外探测器获得的温度;最后利用马弗炉模拟不同温度的表面,振动筛模拟不同浓度和厚度的烟气环境,在实验室条件下设计搭建了模拟烟气覆盖表面的红外测温实验系统,实验验证了源项多流法分析模型,实验测量得到的温度与分析模型预测的温度吻合较好,并提出了利用反演方法修正红外测温的设想。     

某高速着陆无人机方向舵纠偏控制设计及性能分析

无人机高速着陆过程中,由于侧风或初始干扰导致的滑跑侧偏极其危险。基于高速状态下方向舵纠偏效率高的特点,建立某无人机高速着陆动力学模型,设计方向舵纠偏控制策略,并基于Matlab/Simulink平台建立无人机滑跑非线性动力学模型及方向舵纠偏控制模型;对具有初始1°偏航角和1m/s持续垂直侧风情况下的无人机着陆工况进行仿真分析,并通过控制着陆速度、着陆初始姿态角和侧风强度,分析纠偏控制系统的性能。结果表明:所设计的纠偏控制系统具有一定的航向纠偏和抗持续侧风能力,最大侧偏距小于3 m,偏航角小于5°,较好地实现了高速滑跑阶段的侧向纠偏性能。     

非定常压力测量中信号失真的管传递函数修正方法

使用外置压力传感器测量非定常压力会造成非定常测量信号失真. 这是由连接外置传感器和测点之间的管道传压系统引成的. 阐述了一种修正这种非定常信号失真的方法.从而使得运用外置传感器测量非定常压力成为可能.这种技术使用已知的管传递函数在频域中修正非定常测量信号的失真. 同时修正失真信号振幅的变化和相位角的偏移.给出了这种修正技术的运用实例:在叶轮机颤振试验中测量叶片表面非定常压力和在非定常旋涡脱落试验中测量尾迹.     

北斗三号系统PPP-B2b信号定位服务模型及性能分析

给出了PPP-B2b信号定位的观测模型和随机模型,详细阐述了PPP-B2b增强改正模型和参数估计模型,并进行了静态和动态定位实验。结果表明：对于单系统,在30min的收敛时间内,北斗三号定位精度可以达到水平0.118m(静态)、0.176m(动态),高程0.208m(静态)、0.423m(动态)以内,GPS定位精度可以达到水平0.113m(静态)、0.163m(动态),高程0.206m(静态)、0.377m(动态)以内;对于北斗三号/GPS双系统,在20min的收敛时间内,定位精度可以达到水平0.092m(静态)、0.122m(动态),高程0.158m(静态)、0.312m(动态)以内。无论是收敛性还是定位精度,均能满足北斗三号精密单点定位服务指标的要求。     

基于水膜流动与耦合传热的翼型防/除冰计算

针对飞行器防/除冰过程中翼面上空气-水膜-冰层-机翼之间的耦合传质传热现象,建立了一种基于水膜流动与耦合传热模型的翼型防/除冰数值模拟方法.基于Myers水膜流动模型建立了防/除冰热载荷作用下翼面溢流水流动、积冰及内部温度分布的数值计算理论.对于翼型及冰层内的传热现象,利用焓理论及有限体积法建立了复杂多层结构传热的数值...     

Optimal video communication strategy for intelligent video analysis in unmanned aerial vehicle applications

For Unmanned Aerial Vehicles (UAV), the intelligent video analysis is a key technology in intelligent autonomous control, real-time navigation and surveillance. However, poor UAV wireless links would degrade the quality of video communication, leading to difficulties in video analysis. To meet the challenges of packet-loss and limited bandwidth in adverse UAV channel environments, this paper proposes a parameter optimization mechanism for UAV intelligent video analysis. In the proposed method, an Optimal Strategy Library (OSL) is designed to optimize the parameters for video encoding and forward error correction. Adapted to the packet-loss rate and bandwidth in practical UAV wireless network, the proposed OSL can facilitate the encoding of video sequences and the recovery of degraded videos with optimal performance. Experimental results demonstrate that the proposed solution can keep intelligent video analysis working efficiently with adverse UAV wireless links, and is capable of maximizing the inference accuracy of Multi-Object Tracking (MOT) algorithms in various scenarios.     

NeQuick G model based scale factor determination for using SBAS ionosphere corrections at low earth orbit

A space-based augmentation system (SBAS) provides real-time correction data for global navigation satellite system (GNSS) users near ground. In order to use the SBAS ionosphere correction for low Earth orbit (LEO) satellites, the correction should be scaled down for the LEO altitude. This scale factor varies with ionosphere distribution and it is hard to determine the value at LEO in real time. We propose a real-time scale factor determination method by using Galileo GNSS’s NeQuick G model. A LEO satellite GPS data and SBAS data received on ground were used to evaluate the performance of the NeQuick G derived variable scale factor. The NeQuick G derived scale factor shows a significant accuracy improvement over NeQuick G model or pre-determined constant scale factor. It improves a vertical positioning accuracy of the LEO satellite. The error mean reductions of the vertical positioning over NeQuick G and the constant scale factor are 31.5% and 11.7%, respectively.     

The use of MODIS 250 m bands to improve the MODIS 1 km ocean color atmospheric correction algorithm in turbid water

“Clear water” is a scale-dependent concept, so it is more likely to successfully find the “clear water” from images with smaller scale than that with larger scale data. In this study, an optimal spectral relationship of moderate-resolution imaging spectroradiometer (MODIS) 250 m and 1 km resolution data at near-infrared bands (OSRLM) is constructed for converting pseudo “clear water” reflectance at 859 nm to those at 748 and 869 nm. According to scale effects, the satellite-observed pseudo “clear water” reflectance is greater than 5.18%, larger than that derived from OSRLM model. An atmospheric correction model for MODIS 1km data using pseudo “clear water” reflectance of MODIS 250 m data (ACMM) was developed for improving the performance of traditional “clear water” atmospheric correction model (CWAC). The model validation results indicate that ACMM model has a better performance than CWAC model. By comparison, the uncertainty decreases by 19.18% in the use of ACMM model over CWAC model for deriving water-leaving reflectance in Taihu Lake, China. This uncertainty is significantly reduced in water-leaving reflectance estimation due to partial removal of scale effects on “clear water”. These findings imply that satellite-derived aerosol scattering contribution at smaller scale usually has a better performance than that at larger scale.     

弹载遥测系统总体关键技术的研究与应用

弹载遥测系统主要用于导弹飞行试验过程中,完成导弹飞行试验数据的采编、调制、传输,与地面遥测设备配合完成试验数据远距离获取,即遥测任务。遥测数据为导弹及分系统设计验证、故障分析、试验结论评判等提供数据依据,是导弹研制过程中极其重要、必不可少的测量系统。结合导弹遥测系统技术发展趋势及笔者近年来创新性工程设计经验,详细阐述了包括弹载遥测系统架构设计、可编程式采编技术、优化供电技术及射频综合化技术等总体关键性技术,为弹载遥测系统提供总体设计新思路。     

An estimation of tropospheric corrections using GPS and synoptic data: Improving Urmia Lake water level time series from Jason-2 and SARAL/AltiKa satellite altimetry

Tropospheric correction is one of the most important corrections in satellite altimetry measurements. Tropospheric wet and dry path delays have strong dependence on temperature, pressure and humidity. Tropospheric layer has particularly high variability over coastal regions due to humidity, wind and temperature gradients. Depending on the extent of water body and wind conditions over an inland water, Wet Tropospheric Correction (WTC) is within the ranges from a few centimeters to tens of centimeters. Therefore, an extra care is needed to estimate tropospheric corrections on the altimetric measurements over inland waters. This study assesses the role of tropospheric correction on the altimetric measurements over the Urmia Lake in Iran. For this purpose, four types of tropospheric corrections have been used: (i) microwave radiometer (MWR) observations, (ii) tropospheric corrections computed from meteorological models, (iii) GPS observations and (iv) synoptic station data. They have been applied to Jason-2 track no. 133 and SARAL/AltiKa track no. 741 and 356 corresponding to 117–153 and the 23–34 cycles, respectively. In addition, the corresponding measurements of PISTACH and PEACHI, include new retracking method and an innovative wet tropospheric correction, have also been used. Our results show that GPS observation leads to the most accurate tropospheric correction. The results obtained from the PISTACH and PEACHI projects confirm those obtained with the standard SGDR, i.e., the role of GPS in improving the tropospheric corrections. It is inferred that the MWR data from Jason-2 mission is appropriate for the tropospheric corrections, however the SARAL/AltiKa one is not proper because Jason-2 possesses an enhanced WTC near the coast. Furthermore, virtual stations are defined for assessment of the results in terms of time series of Water Level Height (WLH). The results show that GPS tropospheric corrections lead to the most accurate WLH estimation for the selected virtual stations, which improves the accuracy of the obtained WLH time series by about 5%.