The ionospheric eclipse factor method (IEFM) and its application to determining the ionospheric delay for GPS

A new method for modeling the ionospheric delay using global positioning system (GPS) data is proposed, called the ionospheric eclipse factor method (IEFM). It is based on establishing a concept referred to as the ionospheric eclipse factor (IEF) λ of the ionospheric pierce point (IPP) and the IEF’s influence factor (IFF) . The IEF can be used to make a relatively precise distinction between ionospheric daytime and nighttime, whereas the IFF is advantageous for describing the IEF’s variations with day, month, season and year, associated with seasonal variations of total electron content (TEC) of the ionosphere. By combining λ and with the local time t of IPP, the IEFM has the ability to precisely distinguish between ionospheric daytime and nighttime, as well as efficiently combine them during different seasons or months over a year at the IPP. The IEFM-based ionospheric delay estimates are validated by combining an absolute positioning mode with several ionospheric delay correction models or algorithms, using GPS data at an international Global Navigation Satellite System (GNSS) service (IGS) station (WTZR). Our results indicate that the IEFM may further improve ionospheric delay modeling using GPS data.     

GPS应用于高空施工机械安全监控

结合小湾水电站建设施工情况,利用实地采集的GPS定位数据,探讨使用GPS实时动态定位技术构建高空施工机械安全监控系统的实现原理和可行性,同时介绍构成系统的各个模块及其功能,给出有效地实施高空施工机械安全运行监控的实用方法。     

GPS/BDS/GALILEO多模单频单历元RTK定位算法

单一卫星系统单频RTK定位可靠性较低,难以满足实时定位需求。由于GPS,BDS及GALILEO均采用CDMA技术体制,GPS/BDS/GALILEO多模系统耦合度较高,可有效应用于RTK动态定位。采用实测数据进行GNSS单频单历元RTK计算,实验结果表明:多模GNSS系统其模糊度ADOP值较小,模糊度固定成功率较高更适用于RTK定位领域。截止高度角较高时多模系统优势更加明显。