Encoder and Decoder Design for Signal Estimation
Author
Summary, in English
In this paper, we study the joint design of optimal linear encoders and decoders for filtering and transmission of a signal over an additive Gaussian noise channel subject to a real-time constraint. The objective is to minimize the variance of the estimation error 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 H2 and H1 norm minimization problem, where the H2 norm corresponds to the error variance in a corresponding Wiener-Kolmogorov filtering problem and the H1 norm is induced by the channel noise. The second stage consists of a spectral factorization. The results are illustrated by a numerical example.
Department/s
Publishing year
2010
Language
English
Pages
2132-2137
Full text
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Document type
Conference paper
Topic
- Control Engineering
Keywords
- real-time coding
- networked control
- signal estimation
- gaussian channel
Conference name
American Control Conference, 2010
Conference date
2010-06-30 - 2010-07-02
Conference place
Baltimore, MD, United States
Status
Published
Research group
- LCCC