Precise line-of-sight modelling for angles-only relative navigation

This work presents a precise analytical model to reconstruct the line-of-sight vector to a target satellite over time, as required by angles-only relative navigation systems for application to rendezvous missions. The model includes the effects of the geopotential, featuring: the analytical propagation in the mean relative orbital elements (up to second-order expansion), the analytical two-way osculating/mean orbital elements’ conversion (second-order in $J_2$ and up to a given degree and order of the geopotential), and a second-order mapping from the perturbed osculating elements’ set to the local orbital frame. Performances are assessed against the line-of-sight reconstructed out of the precise GPS-based positioning products of the PRISMA mission. The line-of-sight modelled over a far-range one day long scenario can be fitted against the true one presenting residuals of the order of ten arc-seconds, which is below the typical sensor noise at far-range.     

一种利用ILSP的同步DS-CDMA信号快速盲解扩算法

针对同步DS-CDMA信号的盲解扩问题，本文提出了一种基于迭代最小二乘投影算法(ILSP)的快速盲解扩算法。本算法首先通过对截获信号的协方差矩阵进行特征分解，估计出由各用户扩频序列张成的信号子空间，然后结合扩频码序列的有限符号集特性，利用ILSP算法消除由特征分解产生的酉矩阵模糊问题，得到扩频序列的精确估计，最后利用估计得到的扩频序列对截获信号解扩得到信息码序列，完成DS-CDMA信号的盲解扩。仿真结果表明本算法在低信噪比条件下具有良好的盲解扩性能，且相较传统算法本文提出算法大大降低了计算复杂度 。     

一例自动驾驶仪系统四通道操纵台故障的分析与排除

针对某型直升机自动驾驶仪系统的舵机驱动部件四通道操纵台出现的故障，通过分析其工作原理，利用逐项筛除法和信号流程分析法，搭接测试电路和外加模拟激励，逐步缩小故障范围，最终将故障定位到具体元件，成功排除故障。     

基于TC783A的三相电动机缺相保护电路的设计与实现

介绍用于三相电动机缺相保护装置的设计方法,采用集成芯片TC783A为核心元件实现,有效地解决三相电动机其他保护元件的局限性。具有快速切断控制回路电源的功能及缺相指示和相序指示,试验证明系统工作性能良好。     

A fast pulse phase estimation method for X-ray pulsar signals based on epoch folding

X-ray pulsar-based navigation (XPNAV) is an attractive method for autonomous deep-space navigation in the future. The pulse phase estimation is a key task in XPNAV and its accuracy directly determines the navigation accuracy. State-of-the-art pulse phase estimation techniques either suffer from poor estimation accuracy, or involve the maximization of generally non-convex object function, thus resulting in a large computational cost. In this paper, a fast pulse phase estimation method based on epoch folding is presented. The statistical properties of the observed profile obtained through epoch folding are developed. Based on this, we recognize the joint prob-ability distribution of the observed profile as the likelihood function and utilize a fast Fourier transform-based procedure to estimate the pulse phase. Computational complexity of the proposed estimator is analyzed as well. Experimental results show that the proposed estimator significantly outperforms the currently used cross-correlation (CC) and nonlinear least squares (NLS) estima-tors, while significantly reduces the computational complexity compared with NLS and maximum likelihood (ML) estimators.     

Evaluation and improvement of coastal GNSS reflectometry sea level variations from existing GNSS stations in Taiwan

Global sea level rise due to an increasingly warmer climate has begun to induce hazards, adversely affecting the lives and properties of people residing in low-lying coastal regions and islands. Therefore, it is important to monitor and understand variations in coastal sea level covering offshore regions. Signal-to-noise ratio (SNR) data of Global Navigation Satellite System (GNSS) have been successfully used to robustly derive sea level heights (SLHs). In Taiwan, there are a number of continuously operating GNSS stations, not originally installed for sea level monitoring. They were established in harbors or near coastal regions for monitoring land motion. This study utilizes existing SNR data from three GNSS stations (Kaohsiung, Suao, and TaiCOAST) in Taiwan to compute SLHs with two methods, namely, Lomb–Scargle Periodogram (LSP)-only, and LSP aided with tidal harmonic analysis developed in this study. The results of both methods are compared with co-located or nearby tide gauge records. Due to the poor quality of SNR data, the worst accuracy of SLHs derived from traditional LSP-only method exceeds 1?m at the TaiCOAST station. With our procedure, the standard deviations (STDs) of difference between GNSS-derived SLHs and tide gauge records in Kaohsiung and Suao stations decreased to 10?cm and the results show excellent agreement with tide gauge derived relative sea level records, with STD of differences of 7?cm and correlation coefficient of 0.96. In addition, the absolute GNSS-R sea level trend in Kaohsiung during 2006–2011 agrees well with that derived from satellite altimetry. We conclude that the coastal GNSS stations in Taiwan have the potential of monitoring absolute coastal sea level change accurately when our proposed methodology is used.     

面向立方星的相对位姿测量视觉传感器设计

针对立方星在轨服务任务中的近距离相对导航问题，提出一种相对位姿测量视觉传感器设计。为应对空间复杂的光照条件，设计一种具有多层结构的立体靶标，选取波长为850nm的LED灯作为立体靶标的光源。在相机镜头处安装850nm的红外窄带滤镜以提高立体靶标成像质量。为提高视觉传感器的测量精度，提出一种迭代直接求解(iterative direct solution, IDS)的相对位姿估计算法。该算法直接利用立体靶标上的非共面点提供的深度信息获得初始相对位姿，然后引入Haralick迭代算法来优化初始测量结果。搭建六自由度实验平台对该视觉传感器进行性能测试。实验结果表明,该视觉传感器能克服背景光的干扰，且提出的 IDS相对位姿估计算法的精度优于经典的P3P算法和EPnP算法。     

一种基于余数周期的 PRI精确估计算法

针对传统脉冲重复间隔（PRI）分选算法在估计PRI方面存在的不足，提出了一种对PRI周期信号的周期进行精确估计的算法。该算法首先从待分选脉冲序列中提取出属于一部雷达的脉冲样本，然后利用同余方程的余数周期性质对该雷达脉冲序列的PRI进行精确的估计。相对于传统的PRI估计算法，该算法有效地消除了TOA量化误差对PRI估计造成的影响，可以精确地估计出雷达脉冲序列的准确 PRI数值，从而能够更好地满足信号分选算法的处理需求。理论推导及仿真实验均表明了该算法的有效性。     

自动导引车在工业4.0 中的应用

随着工业4.0概念的逐步成熟,智能化工厂、智能化生产以及智能化物流将是未来很长一段时间的发展模式,传统的制造企业会面临智能化的升级和转型.在此背景下,从提高工业化生产自动化程度的角度入手,在生产流水线中引入自动导引车.然后针对每一种导航方式分析其优缺点,并且结合现代化生产方式的特点,通过对具体的应用案例进行分析,从原理上重点阐述了激光导引的情况,同时分析了自动导引车(AGV)的发展趋势,为企业后续在选择适合自身特点的自动导引车方面提供了参考.     

基于卫星和星敏感器的冗余激光惯组在轨标定

采用高精度卫星导航速度、位置信息以及星敏感器提供的姿态信息设计十表冗余捷联惯组的标定模型,包含陀螺和加速度计的零次项和标度因数,对卫星和星敏感器辅助的冗余激光陀螺捷联惯组进行实时在轨标定.利用标准Kalman滤波和Sage-Husa自适应滤波作为估计算法,对十表冗余捷联惯组参数进行在线估计.数值仿真结果表明:参数标定精度均在7％以内,是一种实时的在轨标定方法,满足误差补偿要求.冗余惯组在轨标定方法为航天器高精度定姿和定轨提供了一种理论参考.