TY - GEN
T1 - Kalman Filter Design for Intermittent Optical Wireless Communication Systems on Time Scales
AU - Cai, Wenqi
AU - Ben Nasser, Bacem
AU - Djemai, Mohamed
AU - Laleg-Kirati, Taous Meriem
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Time-scale theory, due to its ability to unify the continuous and discrete cases, allows handling intractable non-uniform measurements, such as intermittent received signals. In this work, we address the state estimation problem of a vibration-induced intermittent optical wireless communication (OWC) system by designing a Kalman filter on time scales. First, the algorithm of the time-scale Kalman filter is introduced and a numerical example is given for illustration. Then the studied intermittent OWC system is presented, and experimental data are collected to determine the time scale's form, which has bounded graininess (a.k.a, bounded time jumps). Finally, we design a Kalman filter on the previously defined time scale for the intermittent OWC system and critically analyzed its estimation performance. Moreover, the obtained conclusions are further validated on a reference system. The simulation results corroborate that the time-scale Kalman filtering technique is considerably promising to solve the state estimation problem with non-uniform measurements. This study reveals for the first time the feasibility of applying the time-scale Kalman filter theory to practical applications.
AB - Time-scale theory, due to its ability to unify the continuous and discrete cases, allows handling intractable non-uniform measurements, such as intermittent received signals. In this work, we address the state estimation problem of a vibration-induced intermittent optical wireless communication (OWC) system by designing a Kalman filter on time scales. First, the algorithm of the time-scale Kalman filter is introduced and a numerical example is given for illustration. Then the studied intermittent OWC system is presented, and experimental data are collected to determine the time scale's form, which has bounded graininess (a.k.a, bounded time jumps). Finally, we design a Kalman filter on the previously defined time scale for the intermittent OWC system and critically analyzed its estimation performance. Moreover, the obtained conclusions are further validated on a reference system. The simulation results corroborate that the time-scale Kalman filtering technique is considerably promising to solve the state estimation problem with non-uniform measurements. This study reveals for the first time the feasibility of applying the time-scale Kalman filter theory to practical applications.
UR - http://www.scopus.com/inward/record.url?scp=85146496569&partnerID=8YFLogxK
U2 - 10.1109/ICSC57768.2022.9993846
DO - 10.1109/ICSC57768.2022.9993846
M3 - Conference contribution
AN - SCOPUS:85146496569
T3 - 2022 10th International Conference on Systems and Control, ICSC 2022
SP - 213
EP - 220
BT - 2022 10th International Conference on Systems and Control, ICSC 2022
A2 - Mehdi, Driss
A2 - Outbib, Rachid
A2 - El-Hajjaji, Ahmed
A2 - Busvelle, Eric
A2 - Noura, Hassan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Systems and Control, ICSC 2022
Y2 - 23 November 2022 through 25 November 2022
ER -