一种新的星载GPS定轨滤波算法

针对传统EKF(Extended Kalman Filtering)算法应用于星载GPS(Global Positioning System)低轨卫星定轨时系统噪声方差初值不易确定的问题,提出了一种新的定轨滤波算法.该算法在非线性方程线性化过程中,在前一时刻滤波估值点进行线性化,从而得到扰动方程,并将该扰动方程引入到传统EKF进行滤波处理.该算法与传统EKF分别应用在星载GPS低轨卫星的定轨中,通过比较,结果表明改进的算法在一定程度上抑制了由于系统噪声方差阵选取偏差较大而引起的滤波发散现象,且对于系统噪声方差的初值选取有较强的鲁棒性.      

欺骗干扰条件下的GPS定位方程求解性能研究

介绍了GPS定位欺骗原理,并对GPS 转发式欺骗干扰原理和定位方程求解的算法进行了分析阐述.采用仿真的手段,重点分析了多种典型欺骗条件下的接收机定位解算结果,特别是对四站定位时干扰的效果进行了详细仿真解算和讨论,给出了有意义的结论,可为欺骗干扰的效果评估及战术应用提供有益参考.     

用于识别两颗故障卫星的RAIM算法

提出了一种可以识别两颗故障卫星的接收机自主完好性监测算法.将最优奇偶矢量法应用于两颗故障卫星识别,指出由于故障偏差可能会抵消而使得正确识别率较低.对最优奇偶矢量法进行了改进,利用对单颗卫星故障敏感的最优奇偶矢量对所有可能的两颗故障卫星组合分别构造两个新的奇偶矢量,用于两颗故障卫星的检测和识别.计算机仿真结果显示,改进后的算法与直接利用最优奇偶矢量法相比,可以显著提高两颗故障卫星正确识别率,识别率可超过90%.同时,改进算法的奇偶矢量构造方法简单,计算量将减少90%以上,更有利于工程实现.      

基于双GPS接收机的精密定向研究

GPS定位系统除了可以进行定位、测速和授时外 ,还可以利用两个或多个GPS测量值进行方位测量和三轴姿态测量。文章对利用两块GPSOEM板同步接收的载波相位观测量来精密测定方位进行了深入研究。首先利用载波相位的双差观测方程 ;再根据两个天线间距离已知这个条件 ,对方位和俯仰进行二维搜索 ,并采用了模糊度函数作为搜索的判断依据 ;最后根据最小二乘计算出两个天线的基线矢量 ,从而最终计算出精密的方位值和俯仰角。经过大量的试验表明 ,该算法是切实可行的 ,在 5m基线下 ,方位精度达到 0 0 8°,而且定向时间一般只需 1min左右     

差分 GPS 鉴定地基雷达测量系统精度的方法研究

提出了利用差分ＧＰＳ分析地面雷测系统跟踪误差的思想,详细分析了各种误差源,建立了一组简洁的差分ＧＰＳ模型,构造了测量数据的比对分析算法以及具有良好抗野值能力的误差偏差最优统计算法,并利用模拟数据进行了仿真计算     

两星一地时差定位方法性能分析

针对同轨多星定位系统以及高低轨联合定位系统需要卫星数量多的特点,设想地面站和卫星联合定位体制。考虑到时差定位体制对卫星运动不敏感的特征,提出一星三地和两星一地2种定位体制,从定位场景、定位原理、理论定位误差和误差分布4个方面对定位效能分析。重点论述了两星一地时差定位误差的地理分布、时间分布以及受高度的影响,对将来的工程化应用提供支撑。     

星历误差对双星定位系统定位精度的影响

双星定位系统是我国自行研制开发的一种区域性卫星定位系统,其定位体制与 GPS 不同,并且其定位精度受到诸多因素的影响,其中星历误差的影响是不可忽略的因素。文中重点研究了星历误差对其定位精度的影响,并推导出了其数学误差模型,在一定条件下给出了其仿真结果,为分析其他误差因素对其定位精度的影响奠定了基础。     

基于月光偏振罗盘的载体自主定位方法

为了克服现有偏振定位技术无法全天时工作的缺陷，充分发挥偏振定位技术的自主性，提出一种夜间环境下基于月光偏振罗盘的载体自主定位方法。设计了仿生月光偏振罗盘传感器，改进了一种基于偏振度阈值检测的月亮高度角计算方法，通过实时更新月亮赤经、赤纬和格林时角，利用不同时刻的月亮高度角解算出载体经纬度信息。最后进行静态实验，验证了算法的可行性。实验结果表明，该方法可以稳定获取载体经纬度信息，且定位误差为42.34km。该方法增强了偏振定位技术的全天时性能，在夜间环境下的自主定位领域有着重要应用价值。     

Comparison of convergence time and positioning accuracy among BDS,GPS and BDS/GPS precise point positioning with ambiguity resolution

Precise point positioning (PPP) usually takes about 30?min to obtain centimetre-level accuracy, which greatly limits its application. To address the drawbacks of convergence speed and positioning accuracy, we develop a PPP model with integrated GPS and BDS observations. Based on the method, stations with global coverage are selected to estimate the fractional cycle bias (FCB) of GPS and BDS. The short-term and long-term time series of wide-lane (WL) FCB, and the single day change of narrow-lane (NL) FCB are analysed. It is found that the range of GPS and BDS non-GEO (IGSO and MEO) WL FCB is stable at up to a 30-day-time frame. At times frame of up to 60?days, the stability is reduced a lot. Whether for short-term or long-term, the changes in the BDS GEO WL FCB are large. Moreover, BDS FCB sometimes undergoes a sudden jump. Besides, 17 and 10 stations were used respectively to investigate the convergence speed and positioning errors with six strategies: BDS ambiguity-float PPP (Bfloat), GPS ambiguity-float PPP (Gfloat), BDS/GPS ambiguity-float PPP (BGfloat), BDS ambiguity-fixed PPP (Bfix), GPS ambiguity-fixed (Gfix), and BDS/GPS ambiguity-fixed (BGfix). The average convergence speed of the ambiguity-fixed solution is greatly improved compared with the ambiguity-float solution. In terms of the average convergence time, the Bfloat is the longest and the BGfix is the shortest among these six strategies. Whether for ambiguity-float PPP or ambiguity-fixed PPP, the convergence reduction time in three directions for the combined system is the largest compared with the single BDS. The average RMS value of the Bfix in three directions (easting (E), northing (N), and up (U)) are 2.0?cm, 1.5?cm, and 5.9?cm respectively, while those of the Gfix are 0.8?cm, 0.5?cm, and 1.7?cm. Compared with single system, the BDS/GPS combined ambiguity-fixed system (BGfix) has the fastest convergence speed and the highest accuracy, with average RMS as 0.7?cm, 0.5?cm, and 1.9?cm for the E, N, U components, respectively.     

Comparative analysis of four different single-frequency PPP models on positioning performance and atmosphere delay retrieval

Single-frequency precise point positioning (SF-PPP) has attracted increasing attention due to its high precision and cost effectiveness. With various strategies to handle the dominant error, i.e., ionosphere delay, the ionosphere-float (IF), ionosphere-free-half (IFH), ionosphere-corrected (IC), and ionosphere-weighted (IW) SF-PPP models are certain to possess different characteristics and performance levels. This study is dedicated to assessing and comparing the four models from model characteristics, positioning performance, and atmosphere delay retrieval. The model comparison shows that IC and IW models are full-rank while IF and IFH models have a rank deficiency of size one that will result in biased estimations, which means the better solvability of IC and IW models. The experiments are carried out based on the 7-day Global Positioning System (GPS) observations collected at 57 global Multi-GNSS Experiment (MGEX) stations and Global Ionosphere Map (GIM) products. The results indicate that the IW model can accelerate SF-PPP convergence and achieve higher positioning accuracy compared to the other three SF-PPP models, especially in kinematic mode. With convergence criteria of 0.25 m in horizontal and 0.5 m in vertical, the east/north/up convergence times of IW model are 0.5/15.0/25.0 min and 0.5/16.0/36.5 min for static and kinematic modes, respectively. The IW model is able to achieve an instantaneous positioning accuracy of 0.28/0.35/0.75 m. In addition, a real kinematic test also demonstrates the best positioning solutions of IW model. Regarding troposphere delay retrieval, the IF, IFH, and IW models obtain a comparable daily accuracy of 3.0 cm on average, while the IC model achieves the worst accuracy of 8.0 cm. For precise ionosphere delay estimation, IW model only needs an average initialization time of 34.3 min, but a longer initialization time of 51.6 min is required for IF model. The daily precision of ionosphere delay estimation for IW model can reach up to 10.8 cm. At the present accuracy of GIM products, it is suggested that the IW model should be adopted for SF-PPP first due to its superior performance in positioning and atmosphere delay retrieval.