反舰导弹变系数修正比例导引研究

针对超音速反舰导弹自导段控制的特点，对比分析了两种典型的非线性导引规律即反馈线性化（FLGL）导引律和逆向接近导引律的优缺点，提出了一种称为变系数修正比例导引的方法，通过对其全弹道仿真结果的分析，说明所提出的导引规律是正确的，具有良好的应用效果。     

地地导弹天文导航的一种建模方法

介绍了远程地地弹道式导弹采用惯性／天文组合制导方案的优点。提出了以惯性导航为主、天文导航为辅的一种导航方法，推导出该方法对应的导航基准参数计算模型、导航参数计算模型及天文导航系统的横向导引方程。最后通过仿真计算，给出了所提供的天文导航方法和计算模型对提高导弹命中精度的效能。     

大圆航行轨迹发生器的设计

轨迹发生器广泛应用于惯性导航与组合导航仿真研究之中,它不仅提供实时角速率和比力值,而且还用来直观检验惯性导航或组合导航算法的正确性、优劣性和误差大小.本文基于惯性导航的基本方程,设计了用于捷联惯导的大圆航行轨迹发生器.针对误差公式推导复杂的特点,用导航仿真的方法对其输出的角速率和比力进行了精度估计,验证了设计的正确性.     

关于LTN—72R惯性导航系统定位的几个问题

LTN-72R 惯性导航系统是一个高可靠性、全天候、全球惯导系统。它可单套惯导系统工作,也可作三重位置混合系统工作。惯性即时位置可以使用无线电测距和全向信标导航装置自动更新。本文介绍单套惯导系统、三重位置混合、自动无线电位置更新的基本原理和方法。     

用于被动寻的导弹的带末端落角约束的变结构导引律

使被动寻的导弹在较低的平飞弹道情况下，以较小的俯冲过载和最佳攻击姿态精确命中目标；采用带落角约束的变结构导引律，对弹目距离及距离变化率进行估计，克服被动寻的导弹不能测距的约束，同时使切换开关增益随时间自适应变化以减小俯冲过载；利用某型在研被动寻的导弹的气动参数，对此变结构导引律进行了数学仿真，仿真结果表明，在较低的平飞弹道约束条件下及过载要求范围内，该导引律能以期望落角命中静止与机动的坦克目标，对弹目距离变化率及距离的较大估计误差具有较强的鲁棒性。     

基于BDS-2/BDS-3联合处理的北斗超快速钟差预报优化策略

针对北斗卫星导航系统(BDS)钟差预报产品无法满足高精度快速服务需求的现状，提出了一种基于BDS-2/BDS-3联合估计的超快速卫星钟差预报优化策略。区别于传统两步法预报模型，利用稀疏建模方法一步求解所有模型项，并通过BDS-2/BDS-3星间相关性实现了模型系数解的增强；为进一步降低模型残差的影响，基于残差序列时空相关性，利用半变异函数重构了模型估计的权阵。为验证提出的钟差预报模型，设计了12套对比方案，实验结果表明：基于稀疏建模的钟差模型参数一步估计可略微提高钟差预报精度；通过引入星间相关性对随机模型进行精化，钟差序列一步建模可分别将BDS-2与BDS-3卫星钟差18h预报精度提升28.6%与27.2%；基于半变异函数建模的模型残差相关性提取，可实现BDS-2与BDS-3预报钟差精度8.0%与11.1%的提升。因此，提出的优化策略对当前北斗超快速卫星钟差预报产品精化具有重要意义。     

基于联邦滤波器的新型故障检测结构及算法

提出了一种基于联邦卡尔曼滤波器的故障检测结构,该结构利用各局部滤波器和参考滤波器共有状态之间的残差进行故障检测.并提出了2种故障检测算法:χ2检验法和Elman神经网络检验法.以组合导航系统为例进行了仿真研究,和其它算法相比该算法计算简单、可靠,不但可以快速检测出外部传感器及参考系统故障,且具有很好的容错性能,能快速检测出故障并进行隔离,使融合后系统依然保持较高精度.     

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.     

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.