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Dynamic Source-channel coding for estimation and control over binary symmetric channels
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2015 (English)In: IET Control Theory & Applications, ISSN 1751-8644, E-ISSN 1751-8652, Vol. 9, no 9, 1444-1454 p.Article in journal (Refereed) Published
Abstract [en]

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.
National Category
Signal Processing Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering with specialization in Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-253309DOI: 10.1049/iet-cta.2014.1130ISI: 000355081400013OAI: oai:DiVA.org:uu-253309DiVA: diva2:814126
Available from: 2015-05-26 Created: 2015-05-26 Last updated: 2017-12-04Bibliographically approved

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Shirazinia, Amirpasha

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