Szczegóły

Tytuł artykułu

Application of Improved Robust Kalman Filter in Data Fusion for PPP/INS Tightly Coupled Positioning System

Tytuł czasopisma

Metrology and Measurement Systems

Rocznik

2017

Wolumin

vol. 24

Numer

No 2

Autorzy

Słowa kluczowe

PPP/INS tightly coupled positioning ; robust filter ; IGG scheme ; Mahalanobis distance

Wydział PAN

Nauki Techniczne

Zakres

289–301

Wydawca

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Data

2017.06.30

Typ

Artykuły / Articles

Identyfikator

ISSN 0860-8229

Referencje

Ali (2009), A consistent and robust Kalman filter design for in - motion alignment of inertial navigation system, Measurement, 42, 577. ; Zhang (2008), Integration of INS and un - differenced GPS measurements for precise position and attitude determination, Navigation, 61, 87. ; Chang (2014), Kalman filter with both adaptivity and robustness, Process Contr, 24, 81. ; Yang (1994), Robust estimation for dependent observations, Manuscripta Geodaetica, 19, 10. ; Du (2012), Inertial aided cycle slip detection and identification for integrated PPP GPS and INS, Sensors, 12, 14344. ; Li (2014), GPS INS / Odometer integrated system using fuzzy neural network for land vehicle navigation applications, Navigation, 67, 967. ; Kouba (2001), Precise point positioning using IGS orbit and clock products, GPS Solut, 5, 12. ; Han (2012), Integrated GPS / INS navigation system with dual - rate Kalman Filter, GPS Solut, 16, 389. ; Nassar (2006), A combined algorithm of improving INS error modeling and sensor measurements for accurate INS / GPS navigation, GPS Solut, 10, 29. ; Chu (2013), GPS / MEMS INS data fusion and map matching in urban areas, Sensors, 13, 11280. ; Huang (2012), Real - time estimation of satellite clock offset using adaptively robust Kalman filter with classified adaptive factors, GPS Solut, 16, 531. ; Gao (2011), Robust adaptive filtering method for SINS / SAR integrated navigation system Aerosp, Sci Technol, 15, 425. ; Guo (2014), Adaptive robust Kalman filtering for precise point positioning Meas, Sci Technol, 25, 1.

DOI

10.1515/mms-2017-0031

×