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Multi-Rate Control over AWGN Channels via Analog Joint Source Channel Coding
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
2016 (English)In: 2016 IEEE 55th Conference on Decision and Control, CDC 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 5968-5973 p., 7799185Conference paper, Published paper (Refereed)
Abstract [en]

We consider the problem of controlling an unstable plant over an additive white Gaussian noise (AWGN) channel with a transmit power constraint, where the signaling rate of communication is larger than the sampling rate (for generating observations and applying control inputs) of the underlying plant. Such a situation is quite common since sampling is done at a rate that captures the dynamics of the plant and which is often much lower than the rate that can be communicated. This setting offers the opportunity of improving the system performance by employing multiple channel uses to convey a single message (output plant observation or control input). Common ways of doing so are through either repeating the message, or by quantizing it to a number of bits and then transmitting a channel coded version of the bits whose length is commensurate with the number of channel uses per sampled message. We argue that such "separated source and channel coding" can be suboptimal and propose to perform joint source channel coding. Since the block length is short we obviate the need to go to the digital domain altogether and instead consider analog joint source channel coding. For the case where the communication signaling rate is twice the sampling rate, we employ the Archimedean bi-spiral-based Shannon Kotel'nikov analog maps to show significant improvement in stability margins and linear-quadratic Gaussian (LQG) costs over simple schemes that employ repetition.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 5968-5973 p., 7799185
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-208571DOI: 10.1109/CDC.2016.7799185ISI: 000400048106029Scopus ID: 2-s2.0-85010782640ISBN: 978-1-5090-1837-6 (print)OAI: oai:DiVA.org:kth-208571DiVA: diva2:1108281
Conference
55th IEEE Conference on Decision and Control, CDC 2016, ARIA Resort and Casino, Las Vegas, United States, 12 December 2016 through 14 December 2016
Funder
EU, Horizon 2020, 708932
Note

QC 20170612

Available from: 2017-06-12 Created: 2017-06-12 Last updated: 2017-06-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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