On optimal reconstruction of discrete data transmissions

P. G. Voulgaris

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper we present a deterministic worst-case framework for accurate reconstruction of discrete (source) data as an alternative to the traditional probabilistic approaches in the communications area. This framework can be explored based on robust control ideas and formulations. Some of the particular problems touched upon are: (i) necessary and sufficient conditions for causal (no delay) and noncausal (with delay) reconstruction under deterministic magnitude bounded noise for SISO and MIMO channels, (ii) reconstruction based on linear estimation, (iii) performance optimization under channel fading and (iv) combined precoding and estimation optimization under power constraints. The ℓ1 control theory is proposed as a natural key player in this approach.

Original languageEnglish (US)
Pages (from-to)3985-3990
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume4
StatePublished - 2001
Event40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States
Duration: Dec 4 2001Dec 7 2001

Keywords

  • Communications
  • Equalization
  • ℓ optimal

ASJC Scopus subject areas

  • Control and Optimization
  • Control and Systems Engineering
  • Modeling and Simulation

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