作者:Jian Wang, Tianhe Xu, Wenfeng Nie, Guochang Xu

来源出版物:Measurement science and technology文献号:DOI:https://doi.org/10.1088/1361-6501/abac27 出版年:online August2020

摘要:A new algorithm of multi-baseline solution (MBS) based on the equivalence principle for precise relative positioning is proposed in this paper. The objective of the solution is to keep the observations independent when eliminating the satellite and receiver's clock errors. The equivalent differenced observation equations are developed through the equivalent transform. Because of the high-dimension characteristics of the MBS ambiguity, a modified partial ambiguity resolution of the MBS (PAR-MBS) strategy is developed to determine an ambiguity subset. Compared with the traditional single-baseline solution (SBS), the zero and short baseline experiments are carried out to validate and evaluate the proposed algorithm. The results show that the MBS can enhance the strength of the relative positioning model and improve the positioning accuracy and availability. The PAR-MBS can shorten the convergence time for the epoch to first fix by averagely 41.7% with all 80 observation segments. Moreover, the difference of the positioning errors between the MBS and SBS is indistinguishable for the 45- and 60-minutes schemes. But for the 30-minutes scheme, there is a significant performance improvement by approximately 11%, 10% and 14% in the N, E, and U component, respectively. The closure errors of repeated baselines and triangle closed loops can also deliver similar results for the 45- and 60-minutes schemes, but for the 30-minutes scheme, there is a remarkable performance improvement by approximately (48%, 59%, and 12%), and (54%, 65%, and 10%) in the N, E, and U component, respectively.

Keywords:multi-baseline solution; equivalence principle; performance analysis; high-dimensional ambiguity

Citations:Wang et al 2020 Meas. Sci. Technol. in presshttps://doi.org/10.1088/1361-6501/abac27