DocumentCode :
1084137
Title :
MLSE for an unknown channel .I. Optimality considerations
Author :
Chugg, Keith M. ; Polydoros, Andreas
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Volume :
44
Issue :
7
fYear :
1996
fDate :
7/1/1996 12:00:00 AM
Firstpage :
836
Lastpage :
846
Abstract :
The problem of performing joint maximum-likelihood (ML) estimation of a digital sequence and unknown dispersive channel impulse response is considered starting from a continuous-time (CT) model. Previous investigations of this problem have not considered the front-end (FE) processing in detail; rather, a discrete-time signal model has been assumed. We show that a fractionally-spaced whitened matched filter, matched to the known data pulse, provides a set of sufficient statistics when a tapped delay line channel model is assumed, and that the problem is ill-posed when the channel impulse response is generalized to a CT, finite-length model. Practical approximations are considered that circumvent this ill-posed condition. Recursive computation of the joint-ML metric is developed. Together, the FE processing and metric recursion provide a receiver structure which may be interpreted as the theoretical foundation for the previously introduced technique of per-survivor processing, and they lead directly to generalizations. Several FE processors representative of those suggested in the literature are developed and related to the practically optimal FE
Keywords :
approximation theory; delay lines; estimation theory; filtering theory; matched filters; maximum likelihood estimation; optimisation; recursive estimation; signal processing; telecommunication channels; transient analysis; transient response; approximations; continuous-time model; data pulse; digital sequence; discrete-time signal model; dispersive channel impulse response; finite-length model; fractionally spaced whitened matched filter; front-end processing; joint maximum likelihood estimation; metric recursion; per-survivor processing; receiver structure; recursive computation; tapped delay line channel model; AWGN; Additive white noise; Gaussian noise; Intersymbol interference; Iron; Matched filters; Maximum likelihood estimation; Sequences; Signal processing; Statistics;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.508303
Filename :
508303
Link To Document :
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