Journal article
The Sliding Innovation Filter
Abstract
In this paper, a new filter referred to as the sliding innovation filter (SIF) is presented. The SIF is an estimation strategy formulated as a predictor-corrector that makes use of a switching gain and innovation term. In estimation theory, a trade-off exists between robustness to disturbances and optimality in terms of estimation error. Unlike the Kalman filter (KF), the SIF is a sub-optimal filter in the sense that it does not provide the …
Authors
Gadsden SA; Al-Shabi M
Journal
IEEE Access, Vol. 8, , pp. 96129–96138
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2020
DOI
10.1109/access.2020.2995345
ISSN
2169-3536