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Signal Estimation over Channels with SNR Constraints and Feedback

Johannesson, Erik LU (2011) 18th IFAC World Congress
Abstract
We consider the problem of designing optimal linear encoders and decoders for estimation and transmission of a signal over an analog communication channel with additive noise and a signal-to-noise ratio (SNR) constraint. The objective is to minimize the variance of the estimation error at the receiving end, subject to a real-time constraint. It has been previously shown that, for channels without feedback, a solution can be obtained by solving a mixed norm minimization problem and performing a spectral factorization, see Johannesson et al. (2010b). In this paper, these results are extended to the case when the encoder has access to feedback from the channel output. This results in improved performance, which is demonstrated by a numerical... (More)
We consider the problem of designing optimal linear encoders and decoders for estimation and transmission of a signal over an analog communication channel with additive noise and a signal-to-noise ratio (SNR) constraint. The objective is to minimize the variance of the estimation error at the receiving end, subject to a real-time constraint. It has been previously shown that, for channels without feedback, a solution can be obtained by solving a mixed norm minimization problem and performing a spectral factorization, see Johannesson et al. (2010b). In this paper, these results are extended to the case when the encoder has access to feedback from the channel output. This results in improved performance, which is demonstrated by a numerical example. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Real-time coding, Control under communication constraints, Control over networks, Encoder-decoder design
conference name
18th IFAC World Congress
conference location
Milano, Italy
conference dates
0001-01-02
external identifiers
  • scopus:84866762246
project
CHAT
LCCC
language
English
LU publication?
yes
additional info
key=joh11ifac project=ControlCommunication,LCCC-distributed
id
0dc200f2-4e26-4255-8c49-8db196c11056 (old id 2203310)
date added to LUP
2016-04-04 14:02:24
date last changed
2021-02-17 05:56:20
@misc{0dc200f2-4e26-4255-8c49-8db196c11056,
  abstract     = {We consider the problem of designing optimal linear encoders and decoders for estimation and transmission of a signal over an analog communication channel with additive noise and a signal-to-noise ratio (SNR) constraint. The objective is to minimize the variance of the estimation error at the receiving end, subject to a real-time constraint. It has been previously shown that, for channels without feedback, a solution can be obtained by solving a mixed norm minimization problem and performing a spectral factorization, see Johannesson et al. (2010b). In this paper, these results are extended to the case when the encoder has access to feedback from the channel output. This results in improved performance, which is demonstrated by a numerical example.},
  author       = {Johannesson, Erik},
  language     = {eng},
  title        = {Signal Estimation over Channels with SNR Constraints and Feedback},
  year         = {2011},
}