Low-Complexity Square-Root Unscented Kalman Filter Design Methodology

Square-root unscented Kalman filter (SRUKF) is a widely used state estimator for several state of-the-art, highly nonlinear, and critical applications. It improves the stability and numerical accuracy of the system compared to the non-square root formulation, the unscented Kalman filter (UKF). At th...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 42; H. 11; S. 6900 - 6928
Hauptverfasser:	Dutt, Rashi, Acharyya, Amit
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Architecture Circuits and Systems Complexity Design engineering Digital computers Electrical Engineering Electronics and Microelectronics Engineering Extended Kalman filter Field programmable gate arrays Filter design (mathematics) Instrumentation Kalman filters Localization Power consumption Power management Robotics Signal processing Signal,Image and Speech Processing Simultaneous localization and mapping Software State estimation State of the art Synthesis Square-root unscented Kalman filter Field-programmable gate array ASIC Low-complexity VLSI architecture SLAM Householder coordinate rotation digital computer (CORDIC)
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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