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MIMO Encoder and Decoder Design for Signal Estimation

Publiceringsår: 2010
Språk: Engelska
Dokumenttyp: Konferensbidrag


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.


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


19th International Symposium on Mathematical Theory of Networks and Systems, 2010
  • LCCC-lup-obsolete

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