A dual-antenna heading determination method for single-frequency GNSS antennas with large phase pattern variations

被引:0
作者
Wenxin Jin
Wenfei Gong
Tianwei Hou
Xin Sun
Hao Ma
机构
[1] Beijing Jiaotong University,School of Electronic and Information Engineering
[2] Beijing Institute of Fashion Technology,College of Fashion Art and Engineering
来源
GPS Solutions | 2023年 / 27卷
关键词
GNSS; Heading determination; Single-frequency; Large phase pattern variations; Constrained LAMBDA; HLC-LAMBDA;
D O I
暂无
中图分类号
学科分类号
摘要
Precise applications, including dual-antenna heading determination, have been flourishing research fields in global navigation satellite system (GNSS). However, due to the requirements for strong GNSS models and precise carrier phase measurements, single-frequency antennas with large phase pattern variations are difficult to be adopted. In this research, a search-based heading determination method is demonstrated and verified. A new ambiguity resolution (AR) method, namely baseline heading and length-constrained LAMBDA (HLC-LAMBDA), is also proposed to attempt the AR under a weak GNSS model as well as help identify a rough heading estimate among all listed heading candidates (HC). During the heading search (HS) process, all HCs are evaluated individually with relative positioning results between two antennas, and each HC being evaluated serves two functions: 1) helping correct the antenna-induced phase biases by applying a predetermined phase pattern with different attitudes, and 2) acting as a rough heading constraint in the HLC-LAMBDA method. The performance of the proposed method is analyzed in terms of the precision of heading and relative positioning solutions, the elimination of antenna-induced phase biases, and the computational efficiency; and test results utilizing a phase pattern measured in an anechoic chamber and the data in both static and kinematic cases are also shown, illustrating a consistent conclusion that, under the condition of single-frequency measurements and large phase pattern variations, the proposed method can provide heading solutions with a root mean square error (RMSE) of around 0.07°.
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