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New range domain carrier‐smoothed code filtering with dual‐frequency BDS data
Author(s) -
Chen Chao,
Chang Guobin,
Zhang Shubi,
Chen Guoliang,
Luo Fei
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1996
Subject(s) - gnss applications , computer science , smoothing , algorithm , range (aeronautics) , code (set theory) , pseudorange , satellite system , filter (signal processing) , global positioning system , frequency domain , domain (mathematical analysis) , electronic engineering , real time computing , mathematics , telecommunications , engineering , mathematical analysis , set (abstract data type) , computer vision , programming language , aerospace engineering
In global navigation satellite system (GNSS) applications, the carrier‐smoothed code is a widely used technique to combine code pseudo‐range and carrier phase measurements. Unlike conventional methods, a method using dual‐frequency GNSS data to improve smoothing accuracy by eliminating ionosphere delay is described in this paper. In the recursive least‐squares theory for colored measurement errors framework, a global one‐step carrier‐smoothed code filter in range domain is proposed to overcome the limitations of traditional approaches. The correlations of the time‐differenced carrier phase measurements are considered. This approach avoids overly optimistically evaluating the estimate and improves the transient accuracy of the estimate. Compared with stepwise strategy, the one‐step method is superior and globally optimal. Experiments are conducted using real BDS data, and the performance of the proposed method is demonstrated.