Analysis of differential code biases for GPS receivers over the Indian region

IF 1.2 Q4 REMOTE SENSING Journal of Applied Geodesy Pub Date : 2023-10-05 DOI:10.1515/jag-2023-0047
Kondaveeti Sivakrishna, Devanaboyina Venkata Ratnam
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Abstract

Abstract The GPS Aided Geo Augmented Navigation (GAGAN) system provides the navigational services for single-frequency GNSS user via broadcasting the differential corrections with GEO stationary satellites. The significant differential correction contribution comes from ionospheric time delays and is necessary to be determined precisely. Dual-frequency GPS receivers measure the ionospheric time delays using GPS code and carrier phase measurements. The determination of absolute ionospheric Total Electron Content (TEC) requires the calibration of GPS satellites and receiver hardware biases due to different frequency-dependent signals (L1 and L2) due to environmental changes (Temperature and Humidity). In this paper, A receiver-based Differential Code Biases (DCB) algorithm is implemented to derive a joint estimation of TEC and RDCB parameters using the weighted Least Square (WLS) method. The daily averaged DCBs data for 26 GPS receivers are obtained for 3 years (2014–2016) from 26 GPS reeivers over Indian region. The receiver DCB algorithmis validated with the Fitted Receiver Biases (FRB) method. The correlation (R) between VTEC and RDCB is conducted to investigate the RDCB stability. The results would be useful for the accurate determination of ionospheric differential corrections to GAGAN users.
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印度地区GPS接收机差分码偏差分析
GPS辅助地理增强导航(GAGAN)系统通过广播与Geo静止卫星的差校正,为单频GNSS用户提供导航服务。电离层时间延迟对差校正的贡献很大,需要精确测定。双频GPS接收机利用GPS编码和载波相位测量来测量电离层时间延迟。电离层总电子含量(TEC)的确定需要校准GPS卫星和接收器硬件偏差,这是由于环境变化(温度和湿度)导致的不同频率相关信号(L1和L2)。本文实现了一种基于接收机的差分码偏(DCB)算法,利用加权最小二乘(WLS)方法对TEC和RDCB参数进行联合估计。从印度地区的26台GPS接收机中获得了3年(2014-2016年)26台GPS接收机的每日平均dcb数据。用拟合接收机偏置(FRB)方法验证了接收机DCB算法。通过VTEC与RDCB之间的相关系数(R)来考察RDCB的稳定性。这些结果将有助于GAGAN用户准确确定电离层微分修正。
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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