Conference
Combined particle and smooth innovation filtering for nonlinear estimation
Abstract
In this paper, a new state and parameter estimation method is introduced based on the particle filter (PF) and the sliding innovation filter (SIF). The PF is a popular estimation method, which makes use of distributed point masses to form an approximation of the probability distribution function (PDF). The SIF is a relatively new estimation strategy based on sliding mode concepts, formulated in a predictor-corrector format. It has been shown to …
Authors
Hilal W; Gadsden SA; Wilkerson SA; Al-Shabi M
Volume
12122
Publisher
SPIE, the international society for optics and photonics
Publication Date
June 8, 2022
DOI
10.1117/12.2618973
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