Blind detection of equalization errors in communication systems
Dogancay, K.
Kennedy, R.A.
Res. Sch. of Inf. Sci. & Eng., Australian Nat. Univ., Canberra, ACT;
This paper appears in: Information Theory, IEEE Transactions on
Publication Date: Mar 1997
Volume: 43,
Issue: 2
On page(s): 469-482
ISSN: 0018-9448
References Cited: 21
CODEN: IETTAW
INSPEC Accession Number: 5522874
Digital Object Identifier: 10.1109/18.556106
Current Version Published: 2002-08-06
Abstract
In adaptive channel equalization, transmitted symbol estimates at
the equalizer output may be in error because of excessive channel noise,
convergence of the equalizer to a “closed-eye” local
minimum, or error propagation if the equalizer has a decision feedback
structure. This paper is concerned with the detection of equalization
errors (i.e., errors in transmitted symbol estimates) in a blindfolded
manner whereby no direct access to the channel input is required. The
detection problem is cast into a binary hypothesis testing framework.
Assuming a linear communication channel that is time-invariant during
the test interval, a relationship between the presence of equalization
errors and time variations in the underlying linear model taking the
transmitted symbol estimates to the equalizer input is established.
Based on this relationship, a uniformly most powerful test is
constructed to detect the presence of equalization errors in
finite-length observations. Finite sample size and asymptotic detection
performance of the test is studied. A method for estimating the
equalization delay without direct access to the channel input is
developed. The effectiveness of the test is illustrated by way of
computer simulations
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