Semi-widely linear estimation algorithms of quaternion signals with missing observations and correlated noises

التفاصيل البيبلوغرافية
العنوان: Semi-widely linear estimation algorithms of quaternion signals with missing observations and correlated noises
المؤلفون: Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina, R.M. Fernandez-Alcala, J. D. Jiménez-López
المصدر: Journal of the Franklin Institute. 357:3075-3096
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Relation (database), Computer Networks and Communications, Computer science, Applied Mathematics, Autocorrelation, 020206 networking & telecommunications, 02 engineering and technology, State (functional analysis), Signal, Reduction (complexity), Control and Systems Engineering, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Quaternion, Algorithm, Smoothing, Real number
الوصف: The paper deals with the estimation problem of a discrete-time vectorial quaternion signal which is observed through a linear dynamic system with intermittent observations and autocorrelated and cross-correlated noises. Under C η -properness conditions, a semi-widely linear processing is considered to provide filtering, fixed-point and fixed-lag smoothing algorithms for estimating the quaternion state. The proposed solutions give a substantial reduction in computational burden in relation to the widely linear estimation techniques, this benefit being impossible to be fully captured by using a real number framework. The feasibility and performance of the aforementioned algorithms are illustrated by means of simulation examples.
تدمد: 0016-0032
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::fc1558ca0cc9c10212d9982f49552678Test
https://doi.org/10.1016/j.jfranklin.2020.02.012Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........fc1558ca0cc9c10212d9982f49552678
قاعدة البيانات: OpenAIRE