Enhanced multipath mitigation method based on multi-resolution CNR model and adaptive statistical test strategy for real-time kinematic PPP

This study proposes an enhanced multipath mitigation method based on multi-resolution carrier-to-noise-ratio (CNR) model and adaptive statistical test strategy for real-time kinematic precise point positioning (PPP) applications. The multi-resolution CNR model is established with GPS observation data collected from DOY 152 to 181 of 2019 by 230 globally distributed IGS stations, which used to analyze the relevant factors affecting CNR. Statistical results indicate that the CNR is not only related to the satellite elevation, but also closely related to the receiver types and specific satellite. The maximum difference between different receivers can reach 20 dB for the same satellite at the same elevation. In addition, the performance of the CNR is also obviously different between each satellite, and the maximum difference between different satellites is about 10 dB for the same receiver at the same elevation. Hence, in terms of the method which is based on CNR information for multipath detection and mitigation, the independence of receiver types, satellite and frequency must be considered. With the above analysis, this study developed a multi-resolution CNR model based on different receiver types, different satellites and different elevation firstly. Then, combined with the adaptive statistical test strategy which is based on the difference of CNR between inter-frequency and the difference of CNR between adjacent epochs, the multipath can be detected effectively. For the epoch which affected by multipath, the down-weighted strategy based on CNR is adopted to mitigate the influence of multipath on positioning. Real-time kinematic PPP data are collected to assess the proposed method, and the results demonstrate that the proposed method can detect the multipath effectively, and the detection rate can reach 90.28%. Moreover, after adopting the mitigation strategy, the RMS bias of the east, north and up components are improved about 19.95%, 17.89% and 23.07% compared to the original results, respectively. It is worth noting that this proposed method is also suitable for other GNSS, such as GLONASS and BDS, but the corresponding CNR model must be established simultaneously.     

星载AIS收发机的关键技术初探

研究了现有的VHF频段的船用自动识别系统在超小或微型卫星应用中的若干关键技术。阐述了大气层、降雨、多径失真、多普勒频移对星载AIS通信的影响,接收到的星载AIS信号的载噪比以及星上天线的设计等。研究结果表明,多普勒频移对于星载AIS通信的影响是最主要的,而大气和气侯情况对星载AIS通信的影响则较小。     

全球卫星导航系统兼容性分析方法研究

根据全球卫星导航系统信号捕获、载波跟踪和数据解调的原理,优化了等效载波功率与噪声密度比模型。针对有多普勒频率时的情况,提出了C/A码自干扰时的捕获-频谱隔离系数。结果显示,随着多普勒频率的变化,频谱隔离系数有着明显的变化。通过对仿真结果的分析,验证了模型的有效性,也为后续卫星导航信号的优化设计提供了支持。     

EDFA对HFC系统CNR的影响

在光纤接入网中EDFA是不可缺少的部件,在HFC网络中,EDFA主要作用是将光功率放大使光信号传输距离更远或光分路能力更强。论文从分析HFC系统的CNR入手,对HFC系统中使用的。EDFA的CNR进行了较详细理论的分析,阐述了EDFA对HFC系统CNR的影响。     

基于卫星中继的导弹飞控数据链链路分析

导弹飞控数据链路可极大地提高导弹的作战性能.分析了基于卫星中继的导弹飞控数据链链路特性,给出了其系统组成结构.完成了地星链路和星弹链路系统的分析与设计.最后给出了各链路的通信余量估算.对导弹飞控数据链的工程实现具有参考意义.     

一种用于深空高动态微弱信号的频率估计算法

研究了低载噪比与高动态环境下的深空测控系统频率估计算法,在分析已有方法不足的基础上,提出了一种基于无迹卡尔曼滤波(UKF)的闭环载波跟踪方法。此方法结合了锁频环鉴别器和UKF的优点,获得了宽的估计范围,高的估计精度和低的载噪比门限。在分析UKF模型的基础上,此方法还减少了原有UKF算法的运算量。仿真过程模拟了接收机的高动态运动轨迹,结果表明此法具有较好的动态适应能力、收敛性能和跟踪精度,能够有效地完成低载噪比与高动态环境下的频率估计。此法与基于扩展卡尔曼滤波(EKF)的频率估计算法相比,具有更低的频率估计误差,因此有着良好的应用前景。     

全球卫星导航系统兼容性评估方法研究

目前,卫星导航系统兼容性评估方法主要是计算机仿真验证,难以复制真正的导航系统运行条件,改变任何一个参数都需要重新进行仿真,计算量和分析量很大,并存在较大误差。文章以卫星导航接收机为落脚点研究导航信号的兼容性。首先,根据干扰信号对全球导航卫星系统接收机捕获、载波跟踪、数据解调等的影响,推导了即时相关器输出的信号功率对噪声功率加干扰功率之比的模型,建立了基于频谱隔离系数的等效载噪比模型,利用相对较简单的等式就获得了干扰的一级评估;其次,具体分析了GPS C/A码自干扰时导航信号到达地面的功率、天线增益,以及星座功率增益等参数;最后,给出GPS C/A码自干扰时等效载噪比衰减的测试结果,在信号捕获时,多普勒频移为kHz的整数倍C/A码自干扰对所需GPS C/A码的等效载噪比衰减程度最大,达到9.6dBHz。该方法可以为中国新一代卫星导航系统信号设计提供参考。