DocumentCode
921784
Title
An upper bound to the capacity of the band-limited Gaussian autoregressive channel with noiseless feedback
Author
Tiernan, James C. ; Schalkwijk, J. Pieter M
Volume
20
Issue
3
fYear
1974
fDate
5/1/1974 12:00:00 AM
Firstpage
311
Lastpage
316
Abstract
Upper bounds to the capacity of band-limited Gaussian
th-order autoregressive channels with feedback and average energy constraint
are derived. These are the only known hounds on one- and two-way autoregressive channels of order greater than one. They are the tightest known for the first-order case. In this case let
be the regression coefficient,
the innovation variance,
the number of channel iterations per source symbol, and
; then the first-order capacity
is bounded by begin{equation} C^1 leq begin{cases} frac{1}{2} ln [frac{e}{sigma^2}(1+ mid alpha_1 mid ) ^ 2 +1], & frac{e}{sigma^2} leq frac{1}{1- alpha_1^2} \\ frac{1}{2} ln [frac{e}{sigma^2} + frac{2mid alpha_1 mid}{sqrt{1-alpha_1^2}} sqrt{frac{e}{simga^2}} + frac{1}{1-alpha_1^2}], & text{elsewhere}.\\ end{cases} end{equation} This is equal to capacity without feedback for very low and very high
and is less than twice this one-way capacity everywhere.
th-order autoregressive channels with feedback and average energy constraint
are derived. These are the only known hounds on one- and two-way autoregressive channels of order greater than one. They are the tightest known for the first-order case. In this case let
be the regression coefficient,
the innovation variance,
the number of channel iterations per source symbol, and
; then the first-order capacity
is bounded by begin{equation} C^1 leq begin{cases} frac{1}{2} ln [frac{e}{sigma^2}(1+ mid alpha_1 mid ) ^ 2 +1], & frac{e}{sigma^2} leq frac{1}{1- alpha_1^2} \\ frac{1}{2} ln [frac{e}{sigma^2} + frac{2mid alpha_1 mid}{sqrt{1-alpha_1^2}} sqrt{frac{e}{simga^2}} + frac{1}{1-alpha_1^2}], & text{elsewhere}.\\ end{cases} end{equation} This is equal to capacity without feedback for very low and very high
and is less than twice this one-way capacity everywhere.Keywords
Autoregressive processes; Feedback communication; Additive noise; Bandwidth; Channel capacity; Feedback; Gaussian channels; Gaussian noise; Noise figure; Optical wavelength conversion; Technological innovation; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1974.1055231
Filename
1055231
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