Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter

Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter

This paper evaluates the performance of robust adaptive tracking techniques with the direct-state Kalman filter (DSKF) used in modern digital global navigation satellite system (GNSS) receivers. Under the assumption of a well-known Gaussian distributed model of the states and the measurements, the D...

Podrobná bibliografie
Hlavní autoři:	Iñigo Cortés, Johannes Rossouw van der Merwe, Elena Simona Lohan, Jari Nurmi, Wolfgang Felber
Médium:	Článek
Jazyk:	English
Vydáno:	MDPI AG 2022-01-01
Edice:	Sensors
Témata:	global navigation satellite system (GNSS) scalar tracking loop (STL) direct-state Kalman filter (DSKF) lookup table direct-state Kalman filter (LUT-DSKF) loop-bandwidth control algorithm (LBCA) adaptive tracking techniques
On-line přístup:	https://www.mdpi.com/1424-8220/22/2/420

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