MIMO Encoder and Decoder Design for Signal Estimation
Author
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.
Department/s
Publishing year
2010
Language
English
Full text
- Available as PDF - 253 kB
- Download statistics
Document type
Conference paper
Topic
- Control Engineering
Keywords
- 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
Research group
- LCCC