水杨醛缩－5－碘－8－氨基喹啉新西夫碱试剂的合成及其分析应用研究──分光光度法测定痕量镓

本文介绍了水杨醛缩－５－碘－８－氨基喹啉新西夫碱的合成、提纯与鉴定。特别对其性质及其与镓金属离子显色反应的光度特性作了研究，其配合物３．４９×１０４Ｌ·ｍｏｌ（－１）·ｃｍ（－１）．     

语音技术在智能仪器中的应用初探

在智能仪器中采用语音技术可改变传统仪器的“聋哑”状况 ,使仪器运行状况更为明晰 ,仪器操作更为可靠。本文介绍了语音的合成与输出技术 ,并就智能仪器中使用语音技术的方法进行了探讨。     

GLONASS-based precise point positioning and performance analysis

Current precise point positioning (PPP) techniques are mainly based on GPS which has been extensively investigated. With the increase of available GLONASS satellites during its revitalization, GLONASS observations were increasingly integrated into GPS-based PPP. Now that GLONASS has reached its full constellation, there will be a wide interest in PPP systems based on only GLONASS since it provides a PPP implementation independent of GPS. An investigation of GLONASS-based PPP will also help the development of GPS and GLONASS combined PPP techniques for improved precision and reliability. This paper presents an observation model for GLONASS-based PPP in which the GLONASS hardware delay biases are addressed. In view of frequently changed frequency channel number (FCN) for GLONASS satellites, an algorithm has been developed to compute the FCN for GLONASS satellites using code and phase observations, which avoids the need to provide the GLONASS frequency channel information during data processing. The observation residuals from GLONASS-based PPP are analyzed and compared to those from GPS-based PPP. The performance of GLONASS-based PPP is assessed using data from 15 globally distributed stations.     

多通道GPS共视法时频传递接收机的研制

GPS共视法是国际上流行的远距离时间频率传递技术,核心是共视法接收机。我们成功研制了多通道GPS共视法时频传递接收机系统,硬件部分主要由自主研制的高精度时间间隔计数器和Motorola生产的VPONCORE GPS引擎组成,软件符合时间频率咨询委员会(CCTF)发布的GPS共视法数据处理软件标准化指南的要求,与单通道GPS定时接收机相比,界面更友好,操作更方便,具有很强的分析处理数据功能。经测试证明多通道GPS接收机零基线共钟共视时间比对的不确定度小于4 ns(仰角40°),与国外报道基本相同。     

基于零点配置的分力合成主动振动抑制方法研究(英文)

The component synthesis active vibration suppression method （CSVS） can be applied to suppress the vibration of flexible systems. By this method, several same or similar time-varying components are arranged according to certain rules along the time axis. The synthesized command can suppress the arbitrary unwanted vibration harmonic while achieving the desired rigid body motion. The number of the components increases rapidly when the number of harmonic vibration is growing. In this article, the CSVS based on zero-placement technique is used to construct the synthesized command to suppress the multi-harmonics simultaneously in the discrete domain. The nature of zero-placement method is to put enough zeros to cancel system poles at necessary points. The designed synthesized command has equal time intervals between each component and which is much easier to be implemented. Using this method, the number of components increases linearly with the increasing of the number of being suppressed harmonics. For the spacecraft with flexible appendages, CSVS based on zero-placement is used to design the time optimal large angle maneuver control strategy. Simulations have verified the validity and superiority of the proposed approach.     

基于HLS的红外遥感图像连通域快速提取方法

连通域提取是红外遥感图像目标检测算法中的重要组成部分,包含在粗检算法中,能够筛去多数虚警,提升粗检效果,减少检测算法的运算量,降低系统功耗.现有的一些连通域提取算法基于CPU处理方式设计,不适合部署在现场可编程逻辑门阵列(FPGA)硬件端.本文采用高层次综合(HLS)的开发模式,设计了适合FPGA加速的连通域提取方法,...     

面向无人集群的通信定位一体化方法研究

针对无人集群协同作战通信/定位的集约化设计需求,提出了一种单载波频域均衡(SCFDE)与直接序列扩频(DSSS)技术有机结合的通信定位一体化波形。一方面,利用SCFDE中频域均衡易于克服频率选择性衰落且便于与DSSS结合的优势,使系统具有良好的适应复杂场景的通信能力;另一方面,利用恒包络零自相关导频序列的优良自相关和互相关特性,将其作为导频序列并计算与本地导频符号的循环移位相关,检测相关峰值即可实现整数符号周期信号到达时间估计。同时,结合用于信道估计的导频序列,构建差分延时相关模型,有效解决了小数采样周期信号到达时间估计问题,实现了高精度的信号到达时间估计。     

天琴一号卫星加速度模式无拖曳控制

结合卫星加速度模式无拖曳控制系统一般组成、各环节典型模型、常见控制器及天琴一号空间惯性基准建立试验卫星的采样周期与控制周期,着眼于工程实际问题的挖掘与解决,重点阐述了该卫星CIC滤波器组频响特性等效、加速度模式无拖曳控制系统稳定裕度及残余加速度指标分析与综合等技术内容。研究表明,多周期离散系统真实稳定裕度难于准确预测;积分系数是决定PSD指标的关键参数;抗混淆滤波器是提升时域残余加速度指标的关键环节,且有利于抑制高频数据在PSD低中频段的高频折叠;在未引入抗混淆滤波器的情形下,频域指标统计应以进入控制器的残余加速度数据为准。在轨飞行试验结果与仿真结果基本吻合。     

Force measurement using strain-gauge balance in shock tunnel based on deep learning

When a force test is conducted in a shock tunnel, vibration of the Force Measurement System (FMS) is excited under the strong flow impact, and it cannot be attenuated rapidly within the extremely short test duration of milliseconds order. The output signal of the force balance is coupled with the aerodynamic force and the inertial vibration. This interference can result in inaccurate force measurements, which can negatively impact the accuracy of the test results. To eliminate inertial vibration interference from the output signal, proposed here is a dynamic calibration modeling method for an FMS based on deep learning. The signal is processed using an intelligent Recurrent Neural Network (RNN) model in the time domain and an intelligent Convolutional Neural Network (CNN) model in the frequency domain. Results processed with the intelligent models show that the inertial vibration characteristics of the FMS can be identified efficiently and its main frequency is about 380 Hz. After processed by the intelligent models, the inertial vibration is mostly eliminated from the output signal. Also, the data processing results are subjected to error analysis. The relative error of each component is about 1%, which verifies that the modeling method based on deep learning has considerable engineering application value in data processing for pulse-type strain-gauge balances. Overall, the proposed dynamic calibration modeling method has the potential to improve the accuracy and reliability of force measurements in shock tunnel tests, which could have significant implications for the field of aerospace engineering.     

Oblique shock train motion based on schlieren image processing

In this paper, shock train motion in a Mach number 2.7 duct is studied experimentally, and large numbers of schlieren images are obtained by a high-speed camera. An image processing method based on Maximum Correlation Detection (MCD) is proposed to detect shock train motion from the schlieren images, based on which the key structures, e.g., separation positions and separation shock angles on the top and bottom walls, can be analysed in detail. The oscillations of the shock train are generated by rhombus and ellipse shafts at various excitation frequencies. According to the analysis of MCD results, the distributions of the frequency components of shock train oscillation generated by the two shafts are distinctly different, in which the motion generated by the ellipse shaft is much smoother; shock train motion is mainly characterized by the oscillation of separation position while the separation shock strength is not so sensitive to downstream disturbance; there is a hysteresis loop relation between the downstream pressure and separation position.