Fuzzy logic applied to GNSS

被引：7

作者：

Gaglione, Salvatore ^{[1
]}

Angrisano, Antonio ^{[2
]}

Innac, Anna ^{[1
]}

Del Pizzo, Silvio ^{[3
]}

Maratea, Antonio ^{[1
]}

机构：

[1] Parthenope Univ, Naples, Italy

[2] G Fortunato Univ, Benevento, Italy

[3] INav Geomat Solut, Massa Lubrense, NA, Italy

来源：

MEASUREMENT | 2019年 / 136卷

关键词：

GNSS; Weighting schemes; Fuzzy logic; ANFIS;

D O I：

10.1016/j.measurement.2018.12.103

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Limiting the weight of bad signals can recover the accuracy of the GNSS solution in signal-degraded scenarios, where multipath reflections and obstructions can easily generate multiple blunders. The fuzzy integration of the available information related to the quality of the received signals is exploited in this paper to derive an effective weighting schema in a Weighted Least Square estimation process. To validate the proposed schema, its performance in the position domain is compared to the most common weighting strategies proposed in the literature, based on GPS data collected through two different High Sensitivity GNSS receivers placed in urban canyons and processed in Single Point Positioning using pseudorange measurements. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：314 / 322

页数：9

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