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MIMO Encoder and Decoder Design for Signal Estimation

In English

Författare

Summary, in English

We study the joint design of optimal linear MIMO encoders and decoders for filtering and transmission of a vector- valued signal over parallel Gaussian channels subject to a real- time constraint. The objective is to minimize the sum of the estimation error variances at the receiving end. The design problem is nonconvex, but it is shown that a global optimum can be found by solving a related two-stage problem. The first stage consists of a mixed norm minimization problem, where the 2-norm corresponds to the error variance in a corresponding Wiener-Kolmogorov filtering problem and the 1-norm is induced by the channel noise. The second stage consists of a matrix spectral factorization.

Publiceringsår

2010

Språk

Engelska

Dokumenttyp

Konferensbidrag

Ämne

  • Control Engineering

Nyckelord

  • real-time coding
  • signal estimation
  • networked control
  • gaussian channel

Conference name

19th International Symposium on Mathematical Theory of Networks and Systems, 2010

Conference date

2010-07-05 - 2010-07-09

Conference place

Budapest, Hungary

Status

Published

Forskningsgrupp

  • LCCC