基于Anubis多模多频GNSS数据质量检核性能验证与分析CSCD

针对传统主流软件难以对多系统、多模多频混合全球卫星导航系统(GNSS)数据进行全方位多层次质量检核,尤其是对北斗卫星导航系统(BDS)等新兴系统不支持的问题,引入阿努比斯(Anubis)软件。在分析其主要功能及使用方法的基础上,通过与主流软件进行全方位对比,利用其与数据格式转换、元数据编辑及数据质量检查(TEQC)软件分别对实测数据进行质量检核和性能分析,并根据其在不同定位环境下的性能表现,验证其可用性。实验结果表明Anubis数据质量检核结果与TEQC相当,但对各数据质量指标的分析在统计上更加细化。其对不同环境下的多系统数据反应灵敏,可用性强。     

An analysis on combined GPS/COMPASS data quality and its effect on single point positioning accuracy under different observing conditions

With the rapid development of the COMPASS system, it is currently capable of providing regional navigation services. In order to test its data quality and performance for single point positioning (SPP), experiments have been conducted under different observing conditions including open sky, under trees, nearby a glass wall, nearby a large area of water, under high-voltage lines and under a signal transmitting tower. To assess the COMPASS data quality, the code multipath, cycle slip occurrence rate and data availability were analyzed and compared to GPS data. The datasets obtained from the experiments have also been utilized to perform combined GPS/COMPASS SPP on an epoch-by-epoch basis using unsmoothed single-frequency code observations. The investigation on the regional navigation performance aims at low-accuracy applications and all tests are made in Changsha, China, using the “SOUTH S82-C” GPS/COMPASS receivers. The results show that adding COMPASS observations can significantly improve the positioning accuracy of single-frequency GPS-only SPP in environments with limited satellite visibility. Since the COMPASS system is still in an initial operational stage, all results are obtained based on a fairly limited amount of data.     

一种基于模糊贴近度的多站数据融合算法

提出了一种基于模糊贴近度的多站数据融合算法。该算法利用模糊贴近度的概念和矩阵特征向量理论,确定多站数据融合算法的各个测量设备的权重。能充分利用测量数据,提高目标跟踪精度。与传统方法相比,该方法计算简便,便于工程实现。     

数据的合理性检验与误差分离方法的选择

制导系统工具误差分离的工作是一个很细致又很严密的工作,为此必定要对测量数据进行检验,并寻找合适的误差分离方法。文中对遥测数据与外测数据提供了合理性检验的方法,并对利用验前信息与不利用验前信息的两类工具误差分离方法进行了比较,确定这两类方法的适用范围。     

Vector quantization for saturated SAR raw data compression

Spaceborne SAR involves the storage and transmission of large-size sampling data. Block adaptive quantization (BAQ) is now the most widely used onboard data compression algorithm due to its good tradeoff between system performance and complexity. However, when spaceborne SAR raw data is saturated, the performance of conventional BAQ deteriorates dramatically because its precondition of Gaussian distribution of raw data no longer holds. In order to solve this problem, an improved vector quantization (VQ) algorithm is proposed. This algorithm firstly introduces saturation modification to a conventional vector quantizer, obtains the saturation codebook based on Gaussian density function, and then obtains the new vector quantizer for the whole set of Saturation Degree (SD). This algorithm makes the vector quantizer match statistical model of data for the whole set of SD, so the performance of the compression is improved. The case of the 2D signal is explicitly computed. The performance of the proposed algorithm is verified by simulated and real data experiments.     

基于IP复用技术的数字鉴频器设计

在分析了坐标旋转计算机CORDIC算法原理的基础上,建立了一种用于数字信号处理数字鉴频器的模型,它采用以裁剪后的8051 IP核为控制核心,基于CORDIC算法的流水线结构和差分结构,完成了数字鉴频实时电路的设计,并在FPGA中实现数字鉴频器功能,它能显示两路基带信号I、Q之间的频率差。     

具有伯努利分布丢包网络控制系统的保性能控制器设计

针对一类服从伯努利分布丢包的网络控制系统,讨论了其保性能控制器的设计问题,将网络控制系统建模为一类具有不确定性参数的离散系统,利用Lyapunov稳定性理论,给出了系统的稳定性条件,结合一个最优二次型性能指标,推导出该类系统保性能控制器的存在性,并将系统保性能控制器设计问题转换为求解线性矩阵不等式(LMI)可行解问题。最后,通过仿真算例验证了此控制方法的有效性和可行性。     

利用飞行试验数据校验导弹气动参数

以防空导弹侧向运动为对象，提出了一种利用飞行试验数据校验导弹气动参数的方法。     

基于抽象的分层诊断技术应用研究

针对大型系统多故障诊断的复杂性,提出利用抽象技术进行结构优化,给出了分层诊断模型的离线构建方法.诊断推理时,为提高诊断效率采用由上至下的分层诊断策略,为克服一致性诊断解的不精确性引入定量知识,提出采用约束集判别系统部件的一致性.把此项诊断技术应用在某卫星热控系统,结果表明可以实现故障的实时诊断和精确定位.     

基于贝叶斯估计的特征事件判别方法研究

针对利用遥测指令参数进行特征事件自动判别时,现有方法忽略了数据源之间相互印证的条件,仅依据测量值相同来判别特征事件的发生时间,存在一定的误判概率,提出了一种基于贝叶斯估计的特征事件判别方法。方法不仅利用了当前数据源的测量值,同时还兼顾特征事件固有的先验分布信息,能够有效提高自动判别的准确率。首先,通过对特征事件数据源的内涵进行分析,得出了不同数据源相互印证的条件;其次,通过对历史数据进行统计分析,建立了特征事件发生时间的正态分布概率模型,并以此为基础提出了基于贝叶斯最大后验估计算法,设计了完整的特征事件判别方法;最后,通过工程数据的仿真计算和结果分析,验证了方法在特征事件判别中的实用性和有效性。