一种GPS系统P码直接捕获策略分析

GPS的 P码信号具有很强的抗干扰和保密能力 ,实现 P码的直接捕获对 GPS系统的军事用户及我国未来发展自己的卫星定位系统具有重要意义。针对 GPS系统 P码信号多普勒频移大、码周期长和速率高的特点 ,提出了时域 -频域联合、串行 -并行混合的捕获策略 ,介绍时域 -频域联合捕获和串行 -并行混合捕获方法的基本原理和工作方式 ,在此基础上对两方案的捕获性能进行了分析。     

INS／GPS／TERCOM组合制导系统中的信息融合方法研究

提出由坐标变换、误匹配检测和卡尔曼滤波三个单元构成的一种新型INS／GPS／TERCOM系统优化结构，并对INS／GPS／TERCOM组合系统自适应联邦滤波信息融合和分散式信息融合两种算法分别进行了研究，将这两种算法与传统的集中滤波算法进行了比较。结果表明，系统无故障情况下三种方法精度相同；而在有故障情况下自适应联邦融合法优于另两种方法。     

一种用于GPS集群车辆监控系统的纠错编码

GPS集群车辆监控系统是 GPS技术、集群移动通信技术和 GIS(地理信息系统 )技术的有机结合体。它利用集群无线移动通信系统进行数据传输 ,误码率较高。本文介绍了一种 (2 ,1 ,9)扩展卷积码 ,能在译码约束长度 2 0个码元内 ,纠正 2个码元的随机错误和 4个码元的突发错误     

基于置信度加权的组合导航数据融合算法

 针对联邦滤波融合算法中由于模型量测噪声统计特性未能被准确描述导致其子滤波器误差变大,进而导致联邦滤波估计出现偏差的问题,为了改进联邦滤波融合方法,将模糊自适应卡尔曼滤波方法和置信度加权方法与联邦滤波融合方法相结合,应用于组合导航系统。该方法首先将模糊自适应卡尔曼滤波方法应用于各子滤波器,使其能够跟踪真实量测噪声统计特性。然后通过模糊方法计算得到各子滤波器的置信度,进而得到联邦滤波器的置信度,再由得到的置信度对各子滤波器及联邦滤波器输出进行加权,得到最终的全局输出。对车载组合导航系统的仿真结果表明,这种算法对量测噪声具有较强的自适应性,能够抑制置信度低的子滤波器在融合系统中所占的权重,提高联邦滤波融合算法的精度,是一种可行的车载组合导航数据融合算法。     

遗传算法在微弱GPS信号捕获方法中的应用

 研究了微弱GPS信号的捕获问题,以捕获时较低的虚警概率和较高的检测概率为目标,以累加时的粗捕获(C/A)码周期数和导航数据数,以及捕获门限等参数为决策变量,应用遗传算法(GA)来解决这一多目标优化问题。仿真结果表明,该方法能够有效地解决所提出的问题,所得解能够优化捕获时欲选取的参数,从而提高捕获性能。     

GPS模拟器在GPS/INS组合导航系统地面仿真试验的应用

详细介绍了GPS模拟器在GPS/INS组合导航系统半实物仿真试验中的应用。借助该GPS模拟器,某系统在仿真试验中对GPS/INS组合导航软、硬件系统进行了全面的考核,并在试验过程中发现了某款GPS接收机动态下速度定位不准确问题,然后根据通过模拟器测得的数据确立了一种补偿方案。经实物导航考核验证,通过GPS模拟器获得的试验数据可信。     

空时自适应滤波抗干扰分析

GPS抗干扰性能差的缺点日益突出,空时自适应滤波是GPS接收机抗干扰技术上的重大突破.通过对不同情况下的空时自适应滤波权值空频响应的数字仿真和分析,得出空时自适应滤波抗干扰的一些有益结论,并给出合理解释.     

Ionospheric TEC prediction using hybrid method based on ensemble empirical mode decomposition (EEMD) and long short-term memory (LSTM) deep learning model over India

Total electron data (TEC) from GPS nowadays can be used as a tool for understanding the space weather phenomena. The development of prediction model for TEC is quiet crucial and challenging due to the dynamic behavior of the ionosphere, since it depends on different factors such as seasonal, diurnal and spatial variations, solar geomagnetic conditions etc. In this paper, an attempt is made for predicting the GPS derived TEC values for different GNSS stations over India using a hybrid method based on Ensemble empirical mode decomposition (EEMD) and Long Short-Term Memory (LSTM) deep learning method. The daily TEC time series data from the IISc Bangalore (Latitude 13.021, Longitude 77.570), Lucknow (Latitude 26.912, Longitude 80.956) and Hyderabad (Latitude 17.417, Longitude 78.551) stations over India during the period 2008 to 2015 of solar cycle 23 and 24 is used for analysis. The assessment of model performance for testing predicted output compared with LSTM and EMD-LSTM models, and their comparison results show that the hybrid EEMD-LSTM model presents better than the other models.     

Reachable set estimation for spacecraft relative motion based on bang-bang principle

For spacecraft formation flight, the information of relative motion reachable set is very important, which can be used to predict the operating boundary of adjacent spacecraft and thus to ensure the safety of spacecraft operation. In this paper, we aim at developing a numerical method to approximate the reachable set for spacecraft relative motion. In particular, we focus on the quality of the approximation and the computational cost. Based on the bang-bang control principle, a polyhedral approximation algorithm is proposed to compute the reachable set of a relative motion spacecraft system. An inner approximation and an outer approximation of the reachable set for the system can be obtained. We prove that the approximation quality measured in Hausdorff distance can be guaranteed. The method is easy to implement and has low computational cost. Finally, the effectiveness of the algorithm is demonstrated by experimental simulation.     

Precise orbit determination and precision comparison for FY3C and FY3D with receiver antenna GPS and BDS PCV using spaceborne BDS and GPS observation data

The FY3C and FY3D satellites were equipped with global navigation satellite occultation detector (GNOS) receivers that received both GPS and BDS-2 signals. For further improving precise orbit determination (POD) precisions, we estimated receiver GPS and BDS signal phase center variations (PCV) models with 2° and 5° resolutions and set the different weights for GPS and BDS-2 observations in the combined POD. The BDS-based POD precision using BDS-2 satellite antenna phase center offset (PCO) values from the China Satellite Navigation Office (CSNO) are not as accurate as those obtained from the International GNSS Service (IGS) Multi-GNSS experiments project (MGEX). The estimated receiver GPS and BDS PCV models with 2° and 5° resolutions were estimated from the GPS phase residuals of GPS-based POD and BDS phase residuals of combined POD, respectively. In most cases, the POD precisions using the estimated PCVs with 2° resolution are superior to those with 5° resolution. The precisions of the BDS-based POD and combined POD were both improved by introducing the receiver BDS PCV models. The weighting for GPS and BDS-2 observations can further improve the precision of the combined POD. The tested results of selected weights are better than those with equal weight in the combined POD. The experiment results show that orbital precisions of FY3C are worse than those of FY3D.