寻的导弹寄生天线罩耦合回路有效导航比设计

基于比例导引(PN)制导律和实际惯性稳定框架式导引头回路,针对导引头回路两种校正网络,建立了用于设计有效导航比的两种寻的导弹寄生天线罩耦合回路模型,给出了PN寻的制导系统的控制弹道实际有效导航比的计算公式及设计准则。算例结果表明,该方法正确有效,所得脱靶量较小。     

基于Windows CE的自主导航系统的设计

随着导航技术的发展 ,自主导航系统成为当今世界的热点。介绍了一种基于新的嵌入式操作系统 Windows CE的自主导航系统。它具有功能全面、操作方便、性能可靠等优点     

视觉导航信息可观性分析的Matlab Symbolic Computation方法

提出了视觉导航信息估计的Matlab Symbolic Computation方法，计算了视觉导航系统中6个自由度变量的最优估计的误差协方差阵的秩、特征值和特征向量，并得到了导航信息可估的条件及结论。通过仿真不仅进一步验证了文献[2]中理论推导及结论的正确性，而且简化了理论分析过程。本文提出的方法具有实际应用价值。     

用渐消卡尔曼滤波器防止捷联惯导系统滤波发散

为有效防止捷联惯导系统滤波发散,根据卡尔曼滤波原理研究了滤波发散的原因,引入了渐消卡尔曼滤波和遗忘因子。对常规卡尔曼滤波器和渐消卡尔曼滤波器的滤波进行的仿真结果表明,采用渐消卡尔曼滤波器在工程上可解决捷联惯导系统滤波发散。     

惯性/图像组合导航中的双模态双滤波器研究

在简要介绍了飞行器视觉图像定位导航原理及模型的基础上，针对其非线性模型的推广Kalman滤波的收敛与初始条件有关的问题，将其定位导航的两种模型（线性与非线性模型）组合，提出了双模态双滤波器滤波方法。这种滤波能很好地解决非线性推广Kalman滤波的收敛问题。通过第一个线性滤波器的滤波估计给第二个非线性滤波器提供滤波初值，使这一非线性滤波收敛，并能取得较高的滤波精度。     

航空器RNP运行中飞行轨迹监测的研究与实现

从分析RNAV／RNP运行对航空器飞行时机载设备的性能特点出发，说明了RNAV／RNP运行初期对飞行品质的监测要求和意义，并就QAR数据作为监测数据源进行了精度分析．表明其可用性，进而给出了一种通过处理QAR数据．反演实际飞行的仿真轨迹，与设计轨迹之间实现了直观比对，并计算给出了比对差值的均值与方差，实现了监测飞行品质的目的。     

Waveform-based spaceborne GNSS-R wind speed observation: Demonstration and analysis using UK TechDemoSat-1 data

This paper explores two types of mathematical functions to fit single- and full-frequency waveform of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R), respectively. The metrics of the waveforms, such as the noise floor, peak magnitude, mid-point position of the leading edge, leading edge slope and trailing edge slope, can be derived from the parameters of the proposed models. Because the quality of the UK TDS-1 data is not at the level required by remote sensing mission, the waveforms buried in noise or from ice/land are removed by defining peak-to-mean ratio, cosine similarity of the waveform before wind speed are retrieved. The single-parameter retrieval models are developed by comparing the peak magnitude, leading edge slope and trailing edge slope derived from the parameters of the proposed models with in situ wind speed from the ASCAT scatterometer. To improve the retrieval accuracy, three types of multi-parameter observations based on the principle component analysis (PCA), minimum variance (MV) estimator and Back Propagation (BP) network are implemented. The results indicate that compared to the best results of the single-parameter observation, the approaches based on the principle component analysis and minimum variance could not significantly improve retrieval accuracy, however, the BP networks obtain improvement with the RMSE of 2.55 m/s and 2.53 m/s for single- and full-frequency waveform, respectively.     

低成本IMU／GPS组合导航系统研究

ＧＰＳ／ＩＮＳ组合导航系统已在一定领域得到应用，而ＩＮＳ昂贵的价格限制了它的广泛应用，本文采用低成本惯性测量组件（ＩＭＵ）设计了低成本ＩＭＵ／ＧＰＳ组合系统的硬件和相应的软件，进行了静态实验和数据处理，系统的俯仰角和横滚角误差均小于０．２°，实验结果表明，低成本组合系统的性能较好，而其性能价格比更高。     

机场导航台无线遥控

随着民航机场建设的加强，机场导航台遥控方式的选择渐渐提上议程。针对无线控遥的特点和功能，提出了利用以ＰＣ机为主的无线遥控原理的硬件模型。     

Real-time fault detection method based on belief rule base for aircraft navigation system

Real-time and accurate fault detection is essential to enhance the aircraft navigation system’s reliability and safety. The existent detection methods based on analytical model draws back at simultaneously detecting gradual and sudden faults. On account of this reason, we propose an online detection solution based on non-analytical model. In this article, the navigation system fault detection model is established based on belief rule base (BRB), where the system measuring residual and its changing rate are used as the inputs of BRB model and the fault detection function as the output. To overcome the drawbacks of current parameter optimization algorithms for BRB and achieve online update, a parameter recursive estimation algorithm is presented for online BRB detection model based on expectation maximization (EM) algorithm. Furthermore, the proposed method is verified by navigation experiment. Experimental results show that the proposed method is able to effectively realize online parameter evaluation in navigation system fault detection model. The output of the detection model can track the fault state very well, and the faults can be diagnosed in real time and accurately. In addition, the detection ability, especially in the probability of false detection, is superior to offline optimization method, and thus the system reliability has great improvement.