Conference
The Luenberger sliding innovation filter for linear systems
Abstract
In this paper, the newly developed sliding innovation filter (SIF) is reformulated to accommodate the ability of extracting the hidden states. This is accomplished by using the well-known Luenberger technique, which is commonly used by observers. In this paper, the SIF is applied to a linear system, which has fewer measurements than states. The results show that the proposed filter extracts the hidden state with small RMSE, as low as 0.1, and …
Authors
AlShabi M; Gadsden A
Volume
12122
Publisher
SPIE, the international society for optics and photonics
Publication Date
June 8, 2022
DOI
10.1117/12.2619570
Name of conference
Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI
Conference proceedings
Proceedings of SPIE--the International Society for Optical Engineering
ISSN
0277-786X