Dynamic source-channel coding for estimation and control over binary symmetric channels
2015 (English)In: IET Control Theory & Applications, ISSN 1751-8644, Vol. 9, no 9, 1444-1454 p.Article in journal (Refereed) Published
The authors study causal dynamic source-channel codes for mean-square stabilisation of a linear plant with random initial state, over binary symmetric channels (BSCs). A binary expansion source coding scheme and two types of channel coding schemes are investigated: (i) dynamic repetition encoding under sequential majority logic decoding, and (ii) dynamic Fountain encoding under sequential BP decoding. The coding schemes are first analysed for an open-loop system, where the goal is to transmit a real-valued source over BSCs with the objective of minimising end-to-end mean-square error distortion. They derive upper- and lower bounds on the achievable distortion which is a function of time. Based on these distortion bounds, they show that the dynamic Fountain codes are able to stabilise (in mean-square sense) an unstable linear plant over BSCs.
Place, publisher, year, edition, pages
2015. Vol. 9, no 9, 1444-1454 p.
Parity-Check Codes, Noisy Channels, Linear-Systems, Raptor Codes, Mathematical-Theory, Feedback-Control, Stabilization, Communication, Information, Design
Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering
IdentifiersURN: urn:nbn:se:kth:diva-169243DOI: 10.1049/iet-cta.2014.1130ISI: 000355081400013ScopusID: 2-s2.0-84930150302OAI: oai:DiVA.org:kth-169243DiVA: diva2:821535
QC 201506152015-06-152015-06-122015-06-15Bibliographically approved