MIMO Encoder and Decoder Design for Signal Estimation

Forskningsoutput: KonferensbidragKonferenspaper, ej i proceeding/ej förlagsutgivet

Abstract

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.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik

Nyckelord

Originalspråkengelska
StatusPublished - 2010
PublikationskategoriForskning
Peer review utfördJa
Evenemang19th International Symposium on Mathematical Theory of Networks and Systems, 2010 - Budapest, Ungern
Varaktighet: 2010 jul 52010 jul 9
Konferensnummer: 19

Konferens

Konferens19th International Symposium on Mathematical Theory of Networks and Systems, 2010
LandUngern
OrtBudapest
Period2010/07/052010/07/09

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