组合定位中快速选星算法研究

来源 :第八届中国卫星导航学术年会 | 被引量 : 0次 | 上传用户:qq3264132
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
本文从GDOP与星座几何布局的关系出发,结合实际应用场景,提出了有效仰角阈值自适应分阶选星算法.该方法以满足定位要求为前提,基于可见星仰角来初筛卫星,对不同仰角卫星进行合理的取舍,以卫星均匀分布为原则,将在理想情况和实际情况下寻找有效定位平衡点,以规避无效选星并减少计算量,从而大大减少选星时间,有效实现了在组合定位中快速选星.
其他文献
在GNSS桥梁监测中由于桥身的遮挡,GNSS信号经常中断、周跳发生频率较高,若采用常规的OTF算法进行动态监测需频繁初始化,通常避开周跳探测,采用单历元算法进行定位解算,以获取高精度形变信息.本文利用BDS/GPS组合单历元算法进行云南桥梁监测研究.结果表明:1)BDS单系统与GPS单系统监测精度相当,并且由于BDS卫星数多于GPS卫星数,BDS监测精度略优于GPS;2)BDS/GPS组合单历元监
Since the Global Navigation Satellite System(GNSS)has been constructed and normally operated,it has been widely applied in aviation,aerospace,navigation,power grid monitoring and communication.However
GNSS in urban was Easy to cause signal shielding effect,it is difficult to provide seamless positioning service,Firstly,the positioning cellular networks based on pseudolites was Proposed in the paper
With supporting of National Natural Science Foundation,Academy of Space Electronic Information Technology(ASEIT)is developing a novel compact spaceborne GNSS receiver; we call it as High Sensitive GNS
This paper presents a new ambiguity resolution method,differed with traditional method which includes all observations and search the whole float ambiguities.The core is to use partial ambiguity fixin
In order to improve the accuracy of satellite clock bias(SCB)prediction,a combined model is proposed.
When generating simulation satellite navigation signal,the delay of the broadband direct-spread satellite navigation signal needs to be controlled with high precision.
In order to solve the link assignment problem in GNSS constellation,which is affected by the performance of dynamic topology,the method of Finite Time Slot(FTS)is proposed for GNSS constellation in th
The Quasi-Zenith Satellite System is developed by SPRAC of Japan.It is a regional satellite navigation and augmentation system.In this contribution,we evaluated and analyzed the accuracy,availability
贝叶斯理论在数据融合方面获得广泛应用,而源于贝叶斯理论的融合算法也层出不穷.本文将贝叶斯理论引入到基于卡尔曼滤波的多系统融合定位中.该算法将系统之间的变化关系,用一阶马氏链来描述.利用先验概率和贝叶斯理论计算出系统之间的混合概率,并在滤波前进行各个系统之间的混合,然后进行并行滤波,滤波后依据卡尔曼滤波所获得的新息计算各系统在融合定位中的概率,依据此概率进行多系统定位结果的融合,并将各系统概率和滤波