用于SAR运动补偿的DGPS/SINS组合系统研究

使用考虑位置误差相关项的伪距率观测模型 ,研究了用于合成孔径雷达运动补偿的差分 GPS/ SINS伪距率组合系统。结果表明 ,组合系统的长期位置精度能达到 1 m左右。 GPS数据更新率低于 INS,在 GPS测量时间间隔内 ,组合系统的性能仅由 INS决定。虽然 INS误差随时间积累 ,在 GPS数据更新率为 1 s的情况下 ,即使采用中等精度的惯性仪表 ,其相对位置精度为厘米级 (这里相对位置精度指组合系统在 GPS测量时间间隔内位置误差的变化范围)。     

GPS在多航天器相对导航和姿态确定中的应用

研究了ＧＰＳ在一类没有结构和力约束,但存在运动约束的多航天器系统中的应用。首先分析了ＧＰＳ在该系统中应用的模式和方案。重点研究了相对ＧＰＳ（ＲＧＰＳ）导航和ＧＰＳ姿态确定的方法和算法。然后提出了ＧＰＳ在该系统中应用的总体结构和功能结构。最后对ＧＰＳ在该系统中应用的选星、滤波器设计、误差消除等问题进行了讨论。研究结果有助于ＧＰＳ在多航天器系统中应用的标准化。     

Unmanned space vehicle navigation by GPS

In this paper, flight-path deviation in the navigation of unmanned space vehicles by global positioning system (GPS) is analyzed. A new method to calculate flight-path deviation by means of coordinate transforming is presented and the software of navigation and control is designed. This software is practical and effective for navigation by GPS with some characteristics including high-speed, high accuracy, real-time positioning and the use of digital mapping technique     

Enhanced space integrated GPS/INS (SIGI)

Safe, reliable, and low cost space-based navigation is being provided with embedded INS/GPS systems such as the space integrated GPS/INS (SIGI). The SIGI is being used for various space vehicle applications such as launch vehicles, orbital vehicles, and re-entry vehicles. This paper describes current space vehicle navigation capabilities. The SIGI is being enhanced to provide additions to these existing capabilities with such items as higher processing and a commercial-off-the-shelf operating system. This will allow hosting of various software applications such as advanced navigation functions, flight control, guidance and vehicle management algorithms. The SIGI can host redundancy management functions by incorporating a cross channel data link card (CCDL) using a high speed firewire bus. The SIGI can then be used as a redundancy management platform which has application to current space vehicle avionics topologies incorporating distributed processing architectures     

差分GPS在飞行试验中的应用

ＧＰＳ是美国正在大力发展的高精度卫星导航系统。主要叙述差分ＧＰＳ在飞行试验中的应用，首先介绍ＧＰＳ的伪距测量定位原理和测速原理，ＤＧＰＳ提高定位精度的原理。     

基于交互式多模型的飞机编队相对导航算法研究

在飞机编队飞行时,成员间的相对位置信息是实现系统协同作战的重要保证,为了提高机群编队飞行的相对导航定位精度,在无地面基准的机群编队飞行JTIDS/GPS/TACAN/IFDL组合的相对导航系统中,采用交互式多模型扩展卡尔曼滤波(IMM-EKF)算法,设计实现了多传感器相对导航系统,克服了飞机动态模型参数变化导致使用单一动态模型滤波精度下降的问题。仿真分析结果表明,交互式多模型算法可以提高相对导航系统的定位精度和可靠性,特别在GPS可见卫星很少的情况下,依然能够具有良好的定位性能。     

无人机下滑着陆DGPS/INS导航及引导系统的仿真与试验研究

介绍了一种采用输出校正方式DGPS/INS组合导航系统引导无人机下滑着陆的方案。给出了该方案的数学模型,对组合导航系统进行了数字仿真,并在数字仿真的基础上进行了动态跑车试验,验证了所设计的输出校正方式DGPS/INS组合导航系统能够满足引导无人机自动下滑着陆的精度要求。     

Online INS/GPS integration with a radial basis function neural network

Most of the present navigation systems rely on Kalman filtering to fuse data from global positioning system (GPS) and the inertial navigation system (INS). In general, INS/GPS integration provides reliable navigation solutions by overcoming each of their shortcomings, including signal blockage for GPS and growth of position errors with time for INS. Present Kalman filtering INS/GPS integration techniques have some inadequacies related to the stochastic error models of inertial sensors, immunity to noise, and observability. This paper aims to introduce a multi-sensor system integration approach for fusing data from INS and GPS utilizing artificial neural networks (ANN). A multi-layer perceptron ANN has been recently suggested to fuse data from INS and differential GPS (DGPS). Although being able to improve the positioning accuracy, the complexity associated with both the architecture of multi-layer perceptron networks and its online training algorithms limit the real-time capabilities of this technique. This article, therefore, suggests the use of an alternative ANN architecture. This architecture is based on radial basis function (RBF) neural networks, which generally have simpler architecture and faster training procedures than multi-layer perceptron networks. The INS and GPS data are first processed using wavelet multi-resolution analysis (WRMA) before being applied to the RBF network. The WMRA is used to compare the INS and GPS position outputs at different resolution levels. The RBF-ANN module is then trained to predict the INS position errors and provide accurate positioning of the moving platform. Field-test results have demonstrated that substantial improvement in INS/GPS positioning accuracy could be obtained by applying the combined WRMA and RBF-ANN modules.     

Aircraft traffic management on the airport surface using VHF datalink for CNS

Aircraft traffic management on the airport surface will require the effective utilization of communications, navigation and surveillance (CNS). This paper describes an experiment which provides a glimpse of future automation. The experiment combines precision surface radar, high-accuracy differential GPS (DGPS) position determination, automatic dependent surveillance (ADS), and ground and airborne automation systems able to intercommunicate via a VHF data link. In particular, this paper describes the air/ground communications provided by the VHF Data Link. Two classes of messages are processed: continual and ad hoc. The former include DGPS corrections, ADS messages and target data. The latter include graphical taxi clearances and hold bar set-reset information. The work described in this paper is the result of a cooperative venture among NASA, Westinghouse-Norden Systems and ARINC     

An integrated GPS/MEMS-IMU navigation system for an autonomous helicopter

During the last years, there is an increasing demand for cheap and easy to operate platforms for surveillance and reconnaissance purposes. Therefore, the development of micro aerial vehicles is receiving an increasing attention. However, VTOL-MAVs often show an inherent instability that makes at least an automatic stabilization necessary, because otherwise the operator would not be able to keep these vehicles airborne. This requires the availability of navigation information, especially the vehicle's attitude has to be known.This paper addresses the development of an integrated navigation system based on MEMS inertial sensors and GPS for a VTOL-MAV. Special attention is paid to the handling of GPS outages. While usually periods without GPS aiding can be bridged using the unaided strapdown solution, the poor quality of the MEMS inertial sensors prohibits this approach here. Therefore, during GPS outages the accelerometer data is interpreted as approximate measurements of the local gravity vector. Additionally, the usage of a magnetometer providing measurements of the Earth's magnetic field is motivated and discussed. Finally, flight test results illustrate the performance of the resulting system, proving that the achieved attitude accuracy is sufficient for the automatic control of the MAV. This holds in situations with permanent GPS loss and dynamic maneuvering, too.     

Accurate and autonomous navigation for the ATV

The Automated Transfer Vehicle (ATV) is a European spacecraft intended to service the International Space Station (ISS). It is designed to perform automated phasing, approach, rendezvous and docking to the ISS, then departure and deorbitation manoeuvres. Such an automated rendezvous mission towards a manned facility raises severe performance and safety constraints for the vehicle, which are declined towards the on-board Navigation in terms of availability, accuracy and failure tolerance: the ATV shall be operational after any first failure and safe conditions shall be reached after a second failure. The whole ATV navigation system has been designed to fulfil these very stringent requirements. Based on fully redundant hardware, the navigation algorithms present optimal estimators and multi-layers Failure, Detection, Isolation and Recovery (FDIR) capabilities to ensure the continuity of the state vector in case of failure. Several functions provide state vectors estimations and health reports, according to the flight phase: the attitude and drift estimation function provides the vehicle absolute attitude and angular rate during the whole flight; for the far rendezvous, position and velocity relative to the ISS are estimated by the relative GPS navigation and a dedicated relative navigation with Videometer applies in close rendezvous, in the final approach. All these autonomous navigation functions offer nevertheless a high level of monitoring and control to the ATV Control Centre operators. Thus the ATV innovative navigation chain provides the high level of performance, robustness and autonomy required by modern spacecrafts involved in human programs, today in Earth orbit but also for future space exploration missions.     

Carrier phase navigation architecture for shipboard relative GPS

Carrier phase differential GPS (DGPS) navigation architectures and algorithms for automatic shipboard landing of aircraft are described. Processing methodologies are defined to provide high integrity carrier phase cycle estimation and positioning by optimally exploiting the complementary benefits of measurement filtering and satellite geometric redundancy for the terminal navigation problem. Navigation performance sensitivity to the standard deviations of raw carrier and code phase measurement errors, measurement error correlation times, and the filtering duration is quantified. Necessary conditions to ensure acceptable terminal navigation availability are specifically defined.     

相对测量在编队卫星自主定轨中的应用

针对编队卫星自主定轨问题进行了研究,设计了一种完全不依赖于地面站和GPS系统的自主导航方案。利用星间测量信息进行卫星编队相对轨道状态的自主确定;并在利用磁强计进行卫星绝对轨道自主确定的基础上,引入星间测量信息提高绝对定轨精度;设计扩展卡尔曼滤波器进行卫星编队轨道状态估计,数学仿真结果验证了这种导航方案和算法的有效性。     

基于UWB/SINS组合的行人导航研究

在特殊环境下全球定位系统(GPS)信号强度被严重削弱,此时基于GPS技术的导航设备将受到严重影响。针对不依赖GPS的行人导航定位需求,提出了一种基于微机电捷联惯导系统(SINS)与超宽带(UWB)定位系统相结合的行人导航方法。该系统由捷联惯导系统与超宽带定位系统组成,行人导航算法在传统的捷联算法的基础上引入了零速修正技术用于检测零速时刻,并使用阈值法剔除了超宽带错误信息,通过联邦Kalman滤波融合了零速、位置和航向信息,并对系统速度、位置、航向进行了校正。行人导航实验表明,该方法能够提升系统定位精度,并进一步加强系统的稳定性与可靠性。     

The radiant angle of GPS satellite antenna affecting the appliedaltitude of GPS in a space vehicle

In this paper, the advantages and development of GPS applied in a space vehicle are introduced first. Then, the software employed to calculate the applied altitude of GPS in a space vehicle is explained. The detailed software flowchart is also given, and the process of choosing used GPS satellites is described in detail. In order to study the receiving condition in a space vehicle, we also make a simulating calculation with our software. The results of receiving GPS satellites over a certain place are given. The paper has not only the value for using GPS in a space vehicle, but also the significance for an aircraft whose navigation system is GPS     

Analysis of airborne GPS multipath effects using high-fidelity EM models

Airborne GPS systems are being upgraded to provide sufficient positioning accuracy to support automatic landing operations in low visibility conditions. This is made possible by differential GPS (DGPS), in which the errors common to the airborne receiver and ground station are removed by knowledge of the latter's precise location. However, errors specific to the airborne system remain, of which the dominant components are receiver noise and multipath. To support the assessment of the integrity of the signal in space, these residual errors are incorporated in a statistically based error model, designated as the "standard model." The standard model is defined as the standard deviation of a Gaussian distribution that overbounds the residual pseudo-range (PR) error. It relates the standard deviation of the overbounding distribution to the elevation angle of the satellite relative to the local level coordinate system. The international community is currently developing improved standards to enable DGPS systems to support landings in the worst visibility conditions (i.e., CAT III). As a part of this development, the standard model for multipath is being re-evaluated and an improved model is sought. In order to better characterize the residual multipath errors, tools for accurate calculation of the airframe scattering effects are needed. Development of such tools is the subject of this paper. A new method for accurately computing pseudo-range error, based on the use of high-fidelity EM models, is described. This approach provides new insight into the mechanisms causing multipath error.     

基于因子图的卫星拒止环境下的多信息融合技术

目前，几乎所有军用和民用系统都依靠基于卫星的组合导航系统来获取导航定位信息。但卫星信号在都市、室内、地下等环境中容易受到干扰，使得导航结果精度降低。为了解决在卫星拒止环境下的导航定位问题，选用基于因子图的信息融合算法，来实现不同采集频率的导航数据信息的融合。实地跑车试验表明，该方法能在卫星信号失效情况下，实现多传感器信息快速有效融合，确保系统导航精度，提升卫星拒止环境下载体导航定位能力。     

基于极限学习机的黑障区智能导航算法

在黑障区飞行阶段中,惯性导航系统会因缺少辅助导航系统而持续累积误差,导致飞行器导航系统可靠性下降。针对这一问题,提出了一种新的基于极限学习机的黑障区智能导航算法,通过极限学习机(ELM)对GPS正常工作的导航信息进行学习。在黑障区,利用学习得到的模型对惯性导航系统进行误差补偿,较好地修正了当GPS失锁时惯性导航系统的误差,避免了因误差累积而导致的导航信息发散。仿真结果表明,该算法能够保证在GPS失锁的黑障区中导航系统输出的信息有较好的可靠性和精度,能够为接下来的姿态调整和着陆准备提供良好的基础。     

GPS/BDS组合定位精度分析

随着定位技术的不断发展及多系统导航定位技术的逐步推广，多系统组合导航定位已经成为了GNSS导航定位领域中的主要发展趋势。主要阐述了GPS/BDS组合相对定位的观测方程和数学模型，并根据实测数据对比分析，从卫星可见性、精度因子、定位精度和均方根误差等方面对GPS、BDS及GPS/BDS组合定位系统的定位性能、定位精度进行了比较。研究结果表明，较单一的GPS和BDS系统定位，采用GPS/BDS组合定位可有效提高卫星可见数目和DOP值，且稳定性更好。GPS/BDS组合定位的定位精度也明显优于单一系统，这对GNSS高精度导航定位具有重要的参考价值。     

小型无人机水平导航控制研究

在考虑小型无人机特点和多种导航方法的基础上,研究了利用ＧＰＳ／航路推算组合导航方法针对无人机进行水平导航控制的方案,并针对一种小型无尾无人机进行了导航控制规律设计,仿真结果表明,这种组合导航方法即简单又经济,精度高、实时性强,可靠性好,可以构成具有较强实用性的自主式导航系统。