Semi-widely linear estimation algorithms of quaternion signals with missing observations and correlated noises
作者： Rosa María Fernández-Alcalá , Jesús Navarro-Moreno , José Domingo Jiménez-López , Juan Carlos Ruiz-Molina
DOI: 10.1016/J.JFRANKLIN.2020.02.012
关键词:
摘要: Abstract The paper deals with the estimation problem of a discrete-time vectorial quaternion signal which is observed through linear dynamic system intermittent observations and autocorrelated cross-correlated noises. Under C η -properness conditions, semi-widely processing considered to provide filtering, fixed-point fixed-lag smoothing algorithms for estimating state. proposed solutions give substantial reduction in computational burden relation widely techniques, this benefit being impossible be fully captured by using real number framework. feasibility performance aforementioned are illustrated means simulation examples.
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