Zusammenfassung
This chapter discusses the role of global navigation satellite systems (GlossaryTerm
GNSS
s) and inertial measurements in the estimation of the state vector for a maneuvering system. The chapter considers the main objectives of accuracy, continuity, availability, and integrity; and, the contributions that the different types of sensors make toward achieving these objectives. The chapter includes an example design. Then, the chapter reviews the concepts of loose, tight, and ultratight or deeply coupled systems. Throughout, the advantages, disadvantages, and tradeoffs between alternative approaches are discussed.This is a preview of subscription content, log in via an institution.
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- ARW:
-
angular random walk
- DLL:
-
delay lock loop
- ECEF:
-
Earth-centered Earth-fixed
- EKF:
-
extended Kalman filter
- FOG:
-
fiber optic gyroscope
- GNSS:
-
global navigation satellite system
- GPS:
-
Global Positioning System
- HDOP:
-
horizontal dilution of precision
- IMU:
-
inertial measurement unit
- INS:
-
inertial navigation system
- LIDAR:
-
light detection and ranging
- MAP:
-
maximum a posteriori
- MEMS:
-
micro-electromechanical system
- PDOP:
-
position dilution of precision
- PF:
-
particle filter
- PLL:
-
phase lock loop
- PSD:
-
power spectral density
- RLG:
-
ring laser gyroscope
- SDA:
-
strapdown algorithm
- SLAM:
-
simultaneous location and mapping
- VDOP:
-
vertical dilution of precision
- VRE:
-
vibration rectification error
- VRW:
-
velocity random walk
- WLS:
-
weighted least-squares
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Farrell, J.A., Wendel, J. (2017). GNSS/INS Integration. In: Teunissen, P.J., Montenbruck, O. (eds) Springer Handbook of Global Navigation Satellite Systems. Springer Handbooks. Springer, Cham. https://doi.org/10.1007/978-3-319-42928-1_28
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