高精度单向测速系统中电波传播引入的测速误差分析

为合理分配高精度单向测速系统中各种误差源引入的测速误差指标,本文分析了电离层、对流层和多路径引入的系统测速误差,进行了仿真并定量地给出了相应的测速误差量级,对高精度测速系统中误差分配有一定的借鉴意义。     

一种基于信道模拟的测速精度评估方法

为了评估单向多普勒测速动态测量精度,构建了一种基于卫星信道模拟器的测速精度评估系统,通过在卫星信道模拟器装订卫星飞行轨迹,利用卫星信道模拟器对上行信号加入传播时延、多普勒频率,对卫星在轨飞行状态下的单向多普勒测速进行场景仿真,并对场景仿真获取的测速数据进行O-C残差序列分析,得到动态测量条件下的测速精度。给出了O-C残差序列的计算方法,分析了单向多普勒测速体制下时钟偏差对测速结果的影响,并给出了一种简单的时钟误差修正方法。     

相位方向图不均匀对高精度测速系统的影响

基于高精度测速工程需求，就飞行器天线方向图对高精度测速的影响进行分析研究。通过对天线相位方向图不均匀模型的深入研究，定量分析了飞行器天线方向图相位不均匀性对测速精度的影响，有效估计了天线相位不均匀性造成的测速误差量级。     

天文光谱测速导航技术与应用思考

随着我国航天技术的发展,航天器对导航系统的精度、自主性、实时性等综合性能需求越来越高。天文光谱测速导航作为近年来提出的新型自主导航技术,具有直接获取航天器速度信息且实时性好、测速精度高等特点,具有广阔的应用前景。在梳理近年来天文光谱测速导航研究进展的基础上,结合天文光谱测速导航的特点,深入思考并提出了若干天文光谱测速导航技术应用组合。基于当前航天任务的需求和研究的难点,结合国内外技术趋势和我国实际工程需求,指出了天文光谱测速导航技术未来的重点研究方向及内容。天文光谱测速导航为我国航天探测工程任务导航提供了一条崭新的技术途径,对天文光谱测速导航技术的持续研究将有力促进我国航天领域导航技术的发展,提升天文导航理论研究能力和工程研制技术水平。     

基于双频微片激光器回馈效应的多普勒测速技术研究

多普勒测速是激光回馈研究领域中最主要和最活跃的分支之一。本文介绍了激光回馈多普勒测速的基本原理,回顾了该领域的研究进展。重点介绍了基于正交偏振双频激光器回馈效应的多普勒测速方法,并在此基础上设计了一种基于双频Nd：YAG微片激光器的回馈多普勒测速方案,分析了其装置原理和影响因素,讨论了其可行性。     

提高LXJ-40离心机光栅测速系统信号质量的方法

分析了LXJ－40离心机光栅测速系统的特点,并从测速信号质量要求出发,分析了出现稳速系统锁相环“滑相”现象及在高速（180～202r／min）中“飞车”现象的原因,提出了提高LXJ－40离心机光栅测速系统信号质量的方法。     

CCD互相关粒子图像测速及其在对抗流流场测量中的应用

在常规自相关粒子图像测速（ＰＩＶ）系统的基础上,发展了一个采用ＣＣＤ像机的互相关粒子图像测速系统。用这一新系统测量了对抗流流场的结果表明,这一技术克服了自相关粒子图像测速技术在测量具有滞止点的流场中的困难。实验说明,与自相关粒子图像测速技术相比,这一技术更快捷有效。     

深空X频段测速数据误差分析

X频段是深空测控的主用频段,其多普勒测速精度远高于S频段,这一结论在"嫦娥二号"任务X频段深空测控技术试验中得到了验证,测速精度约为1mm/s。针对X频段高精度测速,本文分析了目前采用的径向速度近似计算公式,理论分析其产生的误差在地月转移和环月轨道段可达1cm/s。通过"嫦娥二号"任务X频段测控技术试验,以事后精密轨道为基准进行残差分析,结果表明,相比精确公式,近似公式计算测速数据的残差会增加1mm/s,已与X频段测速精度本身相当,因此,多普勒测速近似计算在X频段测量中已不再适用,应使用本文中列出的精确计算公式。     

用热流探针测量激波速度

激波速度测量是激波管和激波风洞运行状态的一个重要参数,压电传感器或光学方法测速系统成本高,而传统电离探针在激波马赫数较低、波后温度达不到空气电离程度的情况下无法满足实验要求。提出了一种使用同轴热电偶作为测速探针来测激波速度的方法,弥补了电离探针在激波马赫数较低时的不足。介绍了同轴热电偶探针测速原理,并设计了测量激波速度的系统电路。通过信号放大电路锁定激波冲激信号,触发脉冲信号发生电路,实现了一种单通道、多测点的激波风洞测速系统。分别开展以温度与热流为触发信号的风洞实验,结果表明只有使用热流信号才能满足激波测速的时间要求。     

船体运动对船载多卜勒测速精度的影响及其修正方法

本文使用运动学多次复合运动的概念,具体推导了海上测量船船载多卜勒测速设备的测速表达式,分析了船体运动对多卜勒测速的影响,给出了较简便而实用的船速、船摇修正公式。最后以两组实测数据为例进行了计算,并估算了修正精度。     

低测角精度下的轨道确定计算方法

根据单位矢量法测轨原理,给出了在测角精度比较低或没有测角资料的情况下,利用测距、测速资料进行初轨和轨道改进的计算方法。工程实践应用表明,在测角精度比较低而测距、测速精度相对高的情况下,该方法可有效地提高轨道确定的精度。     

C频段统一测控系统非相干测速功能探讨

针对目前国内C频段统一测控系统因不具备测速功能,在发遥控期间无法进行测距,导致其无法对卫星进行连续轨道测量的缺陷,提出了非相干测速方法。非相干测速利用卫星遥测信息中的上行载波多普勒信息以及地面站获取的下行载波多普勒信息,计算得到双向多普勒信息,对双向多普勒进行计算可获得连续的卫星运动速度信息。本文在理论上证明了这种方法的可行性,并以自旋式卫星同步控制过程中天地时延精确修正为例,说明了这种方法的应用价值。     

Sequential nonlinear tracking using UKF and raw range-rate measurements

The three-dimensional (3D) converted measurements filtering (CMF) with both converted position and raw range-rate measurement is proposed to solve the Doppler radar target tracking, where the error between radar-target range and range rate are correlated. Firstly, not using pseudomeasurement constructed by product of range and range rate to reduce the high nonlinearity, the raw range-rate measurements are utilized by unscented Kalman filter (UKF), where the converted errors of the position and the range rate are decorrelated, then linear part (position measurements) and nonlinear part (range-rate measurement) are sequentially processed by Kalman filter (KF) and UKF. Secondly, based on the assumption of small measurement error, the mean and covariance of converted measurement errors are derived by second-order Taylor series expansion. Finally, the influence of the correlated coefficient rho between the range and range rate, and the range-rate noise deviation sigma_r are taken into account and extreme values of rho and sigma_r are used in Monte Carlo simulations. The results show that the proposed method is, in a sense, effective and practical     

Impact of target RCS fluctuations on radar measurement accuracy

The impact of target radar cross section (RCS) fluctuations on the thermal noise limited accuracy of radar measurements of range, range rate, and angle is evaluated for Swerling fluctuation models. The impact is expressed as a modification of the large-signal approximation to the standard deviation σ of measurement error     

分布式小卫星SAR的基线测量方法研究

星间基线的高精度测量是分布式小卫星合成孔径雷达(SAR)的重点问题之一。本文以星间基线的表示为出发点,先筛选出可行的基线测量手段,然后针对分布式小卫星SAR所关心的测量精度、信号覆盖、数据率以及作用距离等方面,对这几种手段作进一步的比较分析,并根据比较的结果,提出了3种理论上可行的基线测量方案。最后,文章还指出了这些方案在工程实现过程中需要进一步解决的问题。     

Radar measurement accuracy for fluctuating targets

The impact of target radar cross-section (RCS) fluctuations on the thermal noise limited accuracy of radar measurements of range, range rate, and angle are evaluated for the Swerling fluctuation models. For large signal-to-noise ratios (SNRs), the accuracy criterion used is the measurement error with the same probability span as the one corresponding to the standard deviation points of the measurement error for the nonfluctuating model.<>     

A Tracking Filter in Spherical Coordinates Enhanced by De-noising of Converted Doppler Measurements

Tracking problem in spherical coordinates with range rate (Doppler) measurements, which would have errors correlated to the range measurement errors, is investigated in this paper. The converted Doppler measurements, constructed by the product of the Doppler measurements and range measurements, are used to replace the original Doppler measurements. A de-noising method based on an unbiased Kalman filter (KF) is proposed to reduce the converted Doppler measurement errors before updating the target states for the constant velocity (CV) model. The states from the de-noising filter are then combined with the Cartesian states from the converted measurement Kalman filter (CMKF) to produce final state estimates. The nonlinearity of the de-noising filter states are handled by expanding them around the Cartesian states from the CMKF in a Taylor series up to the second order term. In the mean time, the correlation between the two filters caused by the common range measurements is handled by a minimum mean squared error (MMSE) estimation-based method. These result in a new tracking filter, CMDN-EKF2. Monte Carlo simulations demonstrate that the proposed tracking filter can provide efficient and robust performance with a modest computational cost.     

Nonlinear Filter Evaluation for Estimating Vehicle Position and Velocity Using Satellites

Approximate nonlinear filtering theory is applied to the estimation of vehicle position and velocity in three demensions using sequential range measurements to three known locations. The particular case studied is a satellite air traffic control system which utilizes range measurements to two geostationary satellites and an altitude measurement. Three approximate filters are examined as suboptimal realizations of the minimum-variance filter and simulation results are presented to show that simple first-order approximation is an adequate representation. The parametric relationship between state covariance, measurement noise, vehicle maneuver structure, data rate, and system geometry is presented.     

基于遗传算法的多部测速雷达布站优化研究

通过部署于不同地点的多部无源多普勒测速雷达,可以对有辐射信号源的机动飞行目标进行跟踪测量,并且可以对目标位置和速度信息进行最佳估计。本文探讨了遗传算法在测速雷达布站优化中的使用方法,分析了误差传播矩阵,建立了简易目标函数,利用遗传算法对信标体制下的多普勒测速单站的布站几何进行了优化。