大气密度变化对卫星返回轨道参数的影响

本文在考虑大气密度(90km高度以下) 随地理纬度、高度及时间(月份)随机变化的基础上,沿卫星的返回轨道建立了随机大气密度的统计模型。并应用该模型产生的随机大气密度样本,进行返回轨道的Monte Corlo法模拟计算。通过对模拟计算得到的返回轨道参数样本的统计处理,本文分析了大气密度变化对卫星返回轨道参数的影响。另外,本文还介绍了近似估计大气密度变化对返回轨道参数影响的影响系数法。     

Process-scheme-driven N C machining cell for automatic construction of aircraft structural parts

In order to enhance the NC programming efficiency and quality of aircraft structural parts （ASPs）, an intelligent NC programming pattern driven by process schemes is presented. In this pattern, the NC machining cell is the minimal organizational structure in the technological process, consisting of an operation machining volume cell, and the type and parameters of the machining operation. After the machining cell construction, the final NC program can be easily obtained in a CAD/CAM system by instantiating the machining operation for each machining cell. Accordingly, how to automatically establish the machining cells is a key issue in intelligent NC program- ming. On the basis of the NC machining craft of ASP, the paper aims to make an in-depth research on this issue. Firstly, some new terms about the residual volume and the machinable volume are defined, and then, the technological process is modeled with a process scheme. Secondly, the approach to building the machining cells is introduced, in which real-time complement machining is mainly considered to avoid interference and overcutting. Thirdly, the implementing algorithm is designed and applied to the Intelligent NC Programming System of ASP. Finally, the developed algorithm is validated through two case studies.     

火控雷达系统抗有源干扰能力分析

在对火控雷达系统抗有源干扰的主要属性进行分析的基础上,建立了抗有源干扰多属性决策评估模型,结合实例对评估方案集进行了计算,最后对结果进行分析,达到了分析火控雷达系统抗有源干扰能力的目的.该分析方法具有较好的推广应用价值.     

基于DDS的扫频干扰信号产生技术

传统的函数扫频压制干扰为避免温飘采用波形产生器调制锁相源的方法实现,但锁相源的低通滤波电路严重制约慢扫扫频模式下的频谱带宽,锁相源中VCO的非线性还影响带内幅频特性。采用FPGA直接控制DDS产生体现多种函数波形特性的中频扫频信号,克服了函数扫频干扰无法实现慢扫扫频干扰的瓶颈问题。     

自蔓延高温合成MgO-B4C微观组织研究

B2O3-Mg-C体系的SHS过程中,由于还原剂Mg的蒸气压较高,因此它与B2O3之间的反应不可避免地受到环境中惰性气体压力的影响,研究发现,不同气压下产物的晶粒尺寸与形貌不同,气压分别为101．3Kpa和10．1MPa时,产物B4C的粒径相应为0．4um和5um。     

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).     

Comparison of RO tropopause height based on different tropopause determination methods

The tropopause is an important boundary in the Earth’s atmosphere, and has been the subject of close attention from atmosphere and climate researchers. To monitor the global tropopause using radio occultation (RO) data, there are two primary methods, one is the widely used temperature lapse rate method, and the other is the bending angle covariance transform method which is unique to RO data. We use FengYun3-C (FY3C) and Meteorological Operational Satellite Program (MetOp) RO data and European Centre for Medium-Range Weather Forecasts (ECMWF) operational analysis data to determine differences in RO tropopause height calculated by these two methods. We compute biases of the RO lapse rate tropopause height (LRTH) and the RO bending angle tropopause height (BATH) relative to the ECMWF LRTH. The dependences of the tropopause height biases on tropopause height (TPH) retrieval method, latitude, season and RO mission are investigated. The results indicate that BATH show a consistent 0.8–1.2 km positive bias over the tropics and high latitude regions compared with LRTH, however, over 25° to 40° latitude in both hemisphere, BATH results are less stable. Furthermore, the mean bias between BATH and LRTH displayed a different symmetrical characteristic from 2017.12 to 2018.2 (DJF) compared to 2018.6–2018.8 (JJA). However, except for some bias over Antarctica, the mean value of both LRTH and BATH show a similar tropopause variation, indicating the consistency of both methods.     

The attitude inversion method of geostationary satellites based on unscented particle filter

The attitude information of geostationary satellites is difficult to be obtained since they are presented in non-resolved images on the ground observation equipment in space object surveillance. In this paper, an attitude inversion method for geostationary satellite based on Unscented Particle Filter (UPF) and ground photometric data is presented. The inversion algorithm based on UPF is proposed aiming at the strong non-linear feature in the photometric data inversion for satellite attitude, which combines the advantage of Unscented Kalman Filter (UKF) and Particle Filter (PF). This update method improves the particle selection based on the idea of UKF to redesign the importance density function. Moreover, it uses the RMS-UKF to partially correct the prediction covariance matrix, which improves the applicability of the attitude inversion method in view of UKF and the particle degradation and dilution of the attitude inversion method based on PF. This paper describes the main principles and steps of algorithm in detail, correctness, accuracy, stability and applicability of the method are verified by simulation experiment and scaling experiment in the end. The results show that the proposed method can effectively solve the problem of particle degradation and depletion in the attitude inversion method on account of PF, and the problem that UKF is not suitable for the strong non-linear attitude inversion. However, the inversion accuracy is obviously superior to UKF and PF, in addition, in the case of the inversion with large attitude error that can inverse the attitude with small particles and high precision.     

基于位姿测量不确定度的飞机对接质量评估

针对基于位姿的数字化测量辅助飞机大部件对接技术的发展与应用,对位姿测量不确定度以及基于不确定度的质量评价方法进行了研究.给出了数字化对接环境下大部件位姿的数学表达形式及意义.提出了基于协方差矩阵的位姿测量不确定度解析算法,并通过仿真算例与蒙特卡洛仿真法进行了对比,验证了该算法的有效性.给出了飞机大部件对接过程数字化测量工艺能力指数的概念,用于对测量结果的可信性进行评价;通过构建位姿测量不确定度与对接质量评估指标间的映射关系,提出了一种基于位姿测量不确定度的大部件对接质量评估方法,并以机翼-机身对接过程为案例,对方法的可行性、算法的有效性进行了验证.