Best Integer Equivariant (BIE) Ambiguity Resolution Based on Tikhonov Regularization for Improving the Positioning Performance in Weak GNSS Models

In complicated scenarios, due to the low precision of float solutions and poor reliability of fixed solutions, it is challenging to achieve a balance between accuracy and reliability of the integer least squares (ILS) estimation. To address this dilemma, the best integer equivariant (BIE) estimation...

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Hlavní autoři: Wang Gao, Kexin Liu, Xianlu Tao, Sai Wu, Wenxin Jin, Shuguo Pan
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-09-01
Edice:Remote Sensing
Témata:
best integer equivariant (BIE) estimation
weak GNSS model
ill-posed problem
Tikhonov regularization
reliability evaluation
weight allocation
On-line přístup:https://www.mdpi.com/2072-4292/17/17/3053
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