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101.
In recent years, with the continuous development of Global Navigation Satellite System (GNSS), it has been applied not only to navigation and positioning, but also to Earth surface environment monitoring. At present, when performing GNSS-IR (GNSS Interferometric Reflectometry) snow depth inversion, Lomb-Scargle Periodogram (LSP) spectrum analysis is mainly used to calculate the vertical height from the antenna phase center to the reflection surface. However, it has the problem of low identification of power spectrum analysis, which may lead to frequency leakage. Therefore, Fast Fourier Transform (FFT) spectrum analysis and Nonlinear Least Square Fitting (NLSF) are introduced to calculate the vertical height in this paper. The GNSS-IR snow depth inversion experiment is carried out by using the observation data of P351 station in PBO (Plate Boundary Observatory) network of the United States from 2013 to 2016. Three algorithms are used to invert the snow depth and compared with the actual snow depth provided by the station 490 in the SNOTEL network. The observations data of L1 and L2 bands are respectively used to find the optimal combination between different algorithms further to improve the accuracy of GNSS-IR snow depth inversion. For L1 band, different snow depths correspond to different optimal algorithms. When the snow depth is less than 0.8 m, the inversion accuracy of NLSF algorithm is the highest. When the snow depth is greater than 0.8 m, the inversion accuracy of FFT algorithm is higher. Therefore, according to the different snow depth, a combined algorithm of NLSF + FFT is proposed for GNSS-IR snow depth inversion. Compared with the traditional LSP algorithm, the inversion accuracy of the combined algorithm is improved by 10%. For L2 band data, the results show that the accuracy of snow depth inversion of various algorithms do not change with the variations of snow depth. Among the three single algorithms, the inversion accuracy of FFT algorithm is better than that of LSP and NLSF algorithms.  相似文献   
102.
Triple frequency GNSS will be fully operational within the next decade, opening opportunities for new applications. Dual frequency GNSS already allow to study the ionosphere through the estimation of Total Electron Content (TEC). However, the precision is limited by the ambiguity resolution process. This paper studies a triple frequency TEC monitoring technique in which the use of Geometry-Free and Iono-Free linear combinations improves the ambiguity resolution process and therefore the precision of TEC. We have tested it on a set of triple frequency Giove-A/-B data from January and December 2008. The conclusions achieved are (1) TEC values are affected by an error of about 2–2.5 TECU produced through the ambiguity resolution process; (2) the error caused by the Geometric Free phase combination delays (hardware, multipath, noise, antenna phase center) on TEC is about 0.2 TECU; (3) the total error on TEC approximately reach 2–3 TECU.  相似文献   
103.
介绍了FY-2号CDAS中频跟踪遥测接收机的设计原理及实现方法。研制成的中频跟踪遥测接收机具有捕获时间短、动态范围大、跟踪范围较宽、零点漂移小的特点。通过切换控制可实现对日本GMS卫星的自动跟踪。设备的测试指标满足并优于任务书的要求。  相似文献   
104.
全球卫星导航系统(GNSS)载波相位时间传递技术是高精度时间传递领域的主要研究方法之一,但目前关于该部分的研究主要集中在中低纬度地区,在高纬度地区并不多见。不同GNSS由于星座设计不同,在高纬度地区结构差异较大,因此需要对不同GNSS在高纬度地区的时间传递性能进行分析。实验结果表明,在高纬度地区时间传递中,Galileo稳定度最高,GPS和BDS次之,GLONASS最差。同时因在高纬度地区卫星的高度角普遍偏低,为合理平衡低高度角时可视卫星多和多路径误差大的矛盾,对不同截止高度角下获取的链路时间传递性能进行了分析。结果表明,在5°截止高度角下,高纬度地区的时间传递链路稳定性最好。  相似文献   
105.
本文通过介绍一种采用微机控制的短波接收机框图,叙述用8749微机控制的RX1002型接收机的基本组成和工作原理,重点阐述了数字式锁相环频率合成器的工作原理,吞脉冲程序分频器的工作原理和频率配置关系。  相似文献   
106.
自适应波束形成抗干扰性能受先验信息、通道幅相误差等因素影响较大,在工程应用中实现复杂,鲁棒性较差。针对这一问题,提出了一种卫星导航接收机固定多波束抗干扰方法,该方法将信号空间分为多个子空间,通过最优分配策略选取多个子空间分别实现固定波束指向,并相应地在每个波束后配置独立的卫星捕获跟踪通道组,然后依据最高信噪比准则在所有的子空间中优选卫星进行定位解算。该方法无需先验信息辅助,在抑制干扰信号的同时对卫星信号形成接收增益,在存在工程误差的实际条件下可达到与典型自适应波束形成算法相当的抗干扰性能,且具有鲁棒性强、更易工程实现等优点。最后,通过计算机仿真验证了该方法的有效性。  相似文献   
107.
论述了全球卫星导航系统(GNSS)将取代所有传统的陆基无线电导航系统的背景和目标以及当前的策略、在实施早期应用的同时应采取必要的增强措施和安全保障  相似文献   
108.
袁建平  黎涌 《飞行力学》1996,14(1):30-35
以美国全球定位系统为代表的全球导航卫星系统具有广泛的应用领域,特点是能够在全球范围和近地空间,全天候地提供飞行器的位置、速度和时间信息。  相似文献   
109.
110.
This study investigates the morphology of the GPS TEC responses in the African Equatorial Ionization Anomaly (EIA) region to intense geomagnetic storms during the ascending and maximum phases of solar cycle 24 (2012–2014). Specifically, eight intense geomagnetic storms with Dst ≤ ?100 nT were considered in this investigation using TEC data obtained from 13 GNSS receivers in the East African region within 36–42°E geographic longitude; 29°N–10°S geographic latitude; ± 20°N magnetic latitude. The storm-time behavior of TEC shows clear positive and negative phases relative to the non-storm (median) behavior, with amplitudes being dependent on the time of sudden commencement of the storm and location. When a storm starts in the morning period, total electron content increases for all stations while a decrease in total electron content is manifested for a storm that had its sudden commencement in the afternoon period. The TEC and the EIA crest during the main phase of the storm is significantly impacted by the geomagnetic storm, which experiences an increase in the intensity of TEC while the location and spread of the crest usually manifest a poleward expansion.  相似文献   
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