Evaluation of Low-Complexity Adaptive Full Direct-State Kalman Filter for Robust GNSS Tracking

Evaluation of Low-Complexity Adaptive Full Direct-State Kalman Filter for Robust GNSS Tracking

This paper evaluates the implementation of a low-complexity adaptive full direct-state Kalman filter (DSKF) for robust tracking of global navigation satellite system (GNSS) signals. The full DSKF includes frequency locked loop (FLL), delay locked loop (DLL), and phase locked loop (PLL) tracking sche...

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Bibliographic Details
Main Authors: Iñigo Cortés, Johannes Rossouw van der Merwe, Elena Simona Lohan, Jari Nurmi, Wolfgang Felber
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
global navigation satellite system (GNSS)
full direct-state Kalman filter (DSKF)
lookup table direct-state Kalman filter (LUT-DSKF)
loop-bandwidth control algorithm (LBCA)
adaptive tracking techniques
Online Access:https://www.mdpi.com/1424-8220/23/7/3658

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https://www.mdpi.com/1424-8220/23/7/3658

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