多普勒积分辅助BDS三频周跳探测  被引量:1

Doppler integration assisted BDS triple frequency cycle slip detection

在线阅读下载全文

作  者:王建敏[1] 王清旺 黄佳鹏[1] WANG Jianmin;WANG Qingwang;HUANG Jiapeng(School of Geomatics,Liaoning Technical University,Fuxin,Liaoning 123000,China)

机构地区:[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000

出  处:《导航定位学报》2023年第3期80-89,共10页Journal of Navigation and Positioning

基  金:国家自然科学基金项目(41474020)。

摘  要:针对单频多普勒积分对低采样率数据周跳探测精度较低的问题,提出一种基于北斗卫星导航系统(BDS)三频观测数据的多普勒积分辅助伪距相位组合的周跳探测方法:利用多普勒积分计算历元间伪距变化量,大大减弱多路径效应的影响;并通过选择最优的三频组合系数构造宽巷相位和窄巷伪距组合周跳检测量,提高多普勒积分对低采样率数据的周跳探测精度。实验结果表明,提出的组合方法可以弥补各自的周跳探测盲点,对于不同采样率数据,不仅能有效探测和修复大小周跳、连续周跳和不敏感周跳,还可以准确地辨别1个周期以上的周跳和粗差,具有良好的周跳探测性能。Aiming at the problem of low cycle slip detection accuracy for low sampling rate data by single frequency Doppler integral,the paper proposed a cycle slip detection method for Doppler integral assisted pseudorange phase combination based on the three frequency observation data of BeiDou navigation satellite system(BDS):Doppler integration was used to calculate the variation of pseudorange between epochs for greatly reducing the influence of multipath effects;and the combined cycle slip detection quantity of wide lane phase and narrow lane pseudorange was constructed by selecting the optimal three frequency combination coefficients,to improve the cycle slip detection accuracy of Doppler integration for low sampling rate data.Experimental result showed that the proposed combined method would make up for the blind spots of each cycle slip detection;and for data with different sampling rates,it could not only effectively detect and repair large and small cycle slips,continuous cycle slips and insensitive cycle slips,but also accurately identify cycle slips and gross errors of more than one cycle,indicating good cycle slip detection performance.

关 键 词:周跳探测 北斗卫星导航系统(BDS) 多普勒积分 伪距相位组合 

分 类 号:P228[天文地球—大地测量学与测量工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象