高速、大容量遥感遥测数据记录与分析系统

介绍一种基于 SCSI磁盘的高速、大容量卫星数据实时记录与分析系统 ,详细分析系统的设计思想、工作原理、系统性能指标测试和应用情况。该系统可将转输速率最高可达 4 0 0 Mbps的遥感遥测数据直接记录到磁盘中 ,不经过计算机的操作系统及数据总线 ,有效地解决了高速持续数据流磁盘记录的瓶颈问题。系统最大存储量可达 1TB以上 ,事后能对记录在磁盘上的数据进行分析和处理     

一种分布式信息融合的航天器实时轨道确定算法

针对传统航天器集中式实时轨道确定方法对计算中心依赖性强、鲁棒性差等问题,在分布式混合信息滤波算法(DHIF)的基础上,提出一种基于分布式信息融合的航天器实时轨道确定算法。通过该算法各测站融合自己和邻居节点的状态信息及量测信息,可同时对目标航天器进行局部实时定轨。该算法支持包含多类型传感器的观测网络,对定轨系统局部变化适应性强。仿真结果表明,该分布式定轨算法使各测站局部定轨精度优于单站滤波定轨精度,且一致逼近于多站集中式滤波定轨精度,测站局部定轨的收敛速度取决于测站网络通信的拓扑结构。     

并行环境下外挂物动态分离过程的数值模拟

 并行工程的发展提出了计算流体力学的发展新概念,在此基础上研究开发了一个以非定常流计算为核心的多体分离数值仿真集成系统。该系统采用运动嵌套网格方法,能够处理飞行器在空间中的大尺度运动,结合六自由度运动学方程,具有实时仿真运动部件在气动力、弹射力和重力等耦合作用下运动的能力。基于外挂物投放数值模拟具有网格运动、非定常的特点,从网格重建、多重网格方法等方面探索了提高计算效率的途径和实现方法,结合并行化计算使分析周期大大缩短。以20个中央处理器(CPU)为例,并行计算和3层多重网格使计算速度提高约40倍,同时分布式存储、并发计算的特点缓解了对单节点的内存需求,解决了工程应用中受计算周期、网格规模等限制的难题。为了验证本文方法的正确性,对外挂物投放标模实验进行了数值仿真,计算得到的外挂物运动轨迹在0.5 s时间范围内与实验值基本吻合;对分离过程后半段出现的偏差,从气动力变化的时间历程上进行了说明,提出偏航力矩的误差和累积效应导致了预测出现偏离,对关键的分离初始阶段,该方法可以取得令人满意的效率和精度。     

带外挂二元机翼颤振模态的转变

本文采用定常空气动力,对机翼外挂系统按频率重合理论进行颤振分析,从而确定最低颤振速度随外挂俯仰频率变化的颤振边界曲线。结果表明,可以根据固有振型的变化情况对颤振模态的转变做出工程判断。     

强容错的航空发动机空中停车实时监测逻辑研究

为了确保航空发动机空中再起动策略或飞行员应急操作的快速执行,本文设计了一种具备强容错性的空中停车实时监测逻辑。该逻辑组合了风扇转速、压气机转速、涡轮后温度和换算主燃油流量的空中停车故障特征,融合了监测阈值设定、参数变化范围限制和反向惩罚处理等容错性策略,可适应发动机个体差异及性能衰退、非标准天、传感器正常噪声扰动和单一传感器故障。为检验该逻辑的鲁棒性和容错性,本文采取按任务剖面运行测试和全包线随机加减速测试相结合的方式。虚警测试和检测性能验证结果表明,当发动机正常运行或发生单一传感器故障时,该监测过程均无虚警;相比于继承自АЛ-31Ф发动机的空中停车监测逻辑,本文提出的监测逻辑具备更好的检测性能;当单一传感器发生故障时,该监测过程的检测性能无降级情况。     

试验靶场地面数据交换模式研究

以我国未来导弹航天试验任务发展对试验靶场的需求为出发点,针对靶场试验信息交换数据异构的问题,提出了3种靶场地面数据交换的方式．并且对其进行了定性的分析,希望通过引入先进的信息技术和国外的通用做法,能够对我国试验靶场数据交换的发展起到启示和借鉴作用。     

液体火箭发动机地面试车实时故障检测参数的选取

合理有效的参数选择是液体火箭发动机地面试车实时故障检测系统的一个核心而基础的研究问题.本文首先进行了检测系统采集参数的需求分析;之后将液体火箭发动机测量参数作为方案层,各测量参数对发动机故障的敏感性、参数稳定性和参数相关性等作为准则层,测量参数对实时故障检测的有效性作为目标层,建立了液体火箭发动机参数选择层次结构模型;最后利用模糊层次分析法确定了某型LRE地面试车的实时故障检测参数.通过历史试车数据对参数选择的效果分析表明:所确定的检测参数能够全面表征LRE的运行状态,具有较强的故障表征能力和故障敏感性.从而,为科学合理的选择发动机地面试车实时故障检测参数提供了根据,解决了一直以来依靠定性方法确定发动机检测参数的问题.     

Analysis of GNSS clock prediction performance with different interrupt intervals and application to real-time kinematic precise point positioning

Continuous and timely real-time satellite orbit and clock products are mandatory for real-time precise point positioning (RT-PPP). Real-time high-precision satellite orbit and clock products should be predicted within a short time in case of communication delay or connection breakdown in practical applications. For prediction, historical data describing the characteristics of the real-time orbit and clock can be used as the basis for performing the prediction. When historical data are scarce, it is difficult for many existing models to perform precise predictions. In this paper, a linear regression model is used to predict clock products. Seven-day GeoForschungsZentrum (GFZ) final clock products sampled at 30 s are used to analyze the characteristics of GNSS clocks. It is shown that the linear regression model can be used as the prediction model for the satellite clock products. In addition, the accuracy of the clock prediction for different satellites are analyzed using historical data with different periods (such as 2 and 10 epochs). Experimental results show that the accuracy of the clock with the linear regression prediction model using historical data with 10 epochs is 1.0 ns within 900 s. This is higher accuracy than that achieved using historical data of 2 epochs. Finally, the performance analysis for real-time kinematic precise point positioning (PPP) is provided using GFZ final clock prediction results and state space representation (SSR) clock prediction results when communication delay or connection breakdown occur. Experimental results show that the positioning accuracy without prediction is better than that with prediction in general, whether using the final clock product or the SSR clock product. For the final clock product, the positioning accuracy in the north (N), east (E), and up (U) directions is better than 10.0 cm with all visible GNSS satellites with prediction. In comparison, the 3D positioning accuracy of N, E, and U directions with visible GNSS satellites whose prediction accuracy is better than 0.1 ns using historical data of 10 epochs is improved from 15.0 cm to 7.0 cm. For the SSR clock product, the positioning accuracy of N, E, and U directions is better than 12.0 cm with visible GNSS satellites with prediction. In comparison, the 3D positioning accuracy of N, E, and U directions with visible GNSS satellites whose prediction accuracy is better than 0.1 ns using historical data of 10 epochs is improved from 12.0 cm to 9.0 cm.     

An improved real-time cycle slip correction algorithm based on Doppler-aided signals for BDS triple-frequency measurements

Doppler, which is an instantaneous GNSS observable signal, has been proven effective in determining velocity and acceleration due to its high availability and accuracy. We propose a real-time triple-frequency cycle slip correction (CSC) method based on Doppler-aided signals because Doppler shift is time-independent and immune to cycle slips. When the sampling interval is less than 1 s, cycle slips on triple-frequency can be detected and repaired using pure Doppler data with high reliability; however, this method cannot be used when the sampling interval exceeds 1 s because the integral cumulative error of Doppler increases significantly. For such cases, a modified triple-frequency CSC approach has been developed based on the raw phase and smoothed code data that was refined using the Doppler signal. To suppress the effect of the integral Doppler error, a balance factor is introduced to adjust the contributions of the raw code and Doppler observables. After the refinement of the GNSS data, three independent combinations need be selected to detect and repair cycle slips with triple-frequency observations. Four constrained criteria have been proposed to select optimal combinations that can reduce the residual ionospheric delay (RID) and measurement noise to a low level. Finally, experiments were carried out to test the performance of the new method using real triple-frequency BDS observations (GPST: 3:15:00–5:55:00, March 23, 2018). The results show that pure Doppler can detect and repair cycle slips effectively with small intervals, and modified Hatch-Melbourne-Wübbena (HMW) method based on Doppler-aided signals can achieve 99.7% success rate in cycle slip correction with large intervals (up to 30 s).     

Towards high accuracy GNSS real-time positioning with smartphones

The possibility to access undifferenced and uncombined Global Navigation Satellite System (GNSS) measurements on smart devices with an Android operating system allows us to manage pseudorange and carrier-phase measurements to increase the accuracy of real-time positioning. The goal is to perform real-time kinematic network positioning with smartphones, evaluating the positioning accuracy regarding an external mass-market device. The positioning of Samsung Galaxy S8+ and Huawei P10 plus smartphones was performed using a dedicated tool developed by the authors, considering a continuous operating reference station (CORS) network with a mean inter-station distance of about 50?km. The same positioning technique was also applied to an external GNSS low-cost single-frequency receiver (u-blox EVK-M8T) to compare performance between the receiver and antenna embedded in the previous smartphones and this low-cost receiver coupled with a mass-market antenna (Garmin GA38). Attention was also focused on the phase ambiguity resolution, that it is still a challenging aspect for mass-market devices: even if the two smartphones provide slightly different results, the accuracy obtainable today is greater than 60?cm with a precision of few centimetres in real-time, if a CORS network is available. For real-time applications using portable devices, decimetre-level accuracy is sufficient for many applications, such as rapid mapping and search and rescue activities: these results will open new frontiers in terms of real-time positioning with portable low-cost devices.