Reinforced Lattice Kalman Filters: A Robust Nonlinear Estimation Strategy
This article introduces the Sliding Innovation Lattice Filter (SILF), a robust extension of the Lattice Kalman Filter (LKF) that leverages sliding mode theory. SILF incorporates a sliding boundary layer in the measurement update formulation, enabling the filter innovation to slide within predefined...
Main Authors: | Abolfazl Rahimnejad, Javad Enayati, Luigi Vanfretti, Stephen Andrew Gadsden, Mohammad AlShabi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Open Journal of Signal Processing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10192922/ |
Similar Items
-
Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy
by: Mohammad AlShabi, et al.
Published: (2022-11-01) -
Robust cubature Kalman filter method for the nonlinear alignment of SINS
by: Shi-luo Guo, et al.
Published: (2021-04-01) -
Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements
by: Samer Sahl, et al.
Published: (2024-01-01) -
Improving the performance of GNSS precise point positioning by developed robust adaptive Kalman filter
by: Ahmed Lotfy, et al.
Published: (2022-12-01) -
A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets
by: Sahab Edrisi, et al.
Published: (2024-03-01)