MIMO Encoder and Decoder Design for Signal Estimation
(2010) 19th International Symposium on Mathematical Theory of Networks and Systems, 2010- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1759154
- author
- Johannesson, Erik LU ; Ghulchak, Andrey LU ; Rantzer, Anders LU and Bernhardsson, Bo LU
- organization
- publishing date
- 2010
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- real-time coding, signal estimation, networked control, gaussian channel
- conference name
- 19th International Symposium on Mathematical Theory of Networks and Systems, 2010
- conference location
- Budapest, Hungary
- conference dates
- 2010-07-05 - 2010-07-09
- language
- English
- LU publication?
- yes
- id
- c2f60e11-38d2-4599-b659-c3b62bead82d (old id 1759154)
- date added to LUP
- 2016-04-04 14:20:26
- date last changed
- 2018-11-21 21:19:45
@misc{c2f60e11-38d2-4599-b659-c3b62bead82d, 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.}}, author = {{Johannesson, Erik and Ghulchak, Andrey and Rantzer, Anders and Bernhardsson, Bo}}, keywords = {{real-time coding; signal estimation; networked control; gaussian channel}}, language = {{eng}}, title = {{MIMO Encoder and Decoder Design for Signal Estimation}}, url = {{https://lup.lub.lu.se/search/files/6337690/8170247.pdf}}, year = {{2010}}, }