DocumentCode
927366
Title
A reduced state variant of maximum likelihood sequence detection attaining optimum performance for high signal-to-noise ratios
Author
Foschini, G.
Volume
23
Issue
5
fYear
1977
fDate
9/1/1977 12:00:00 AM
Firstpage
605
Lastpage
609
Abstract
In the detection of
-level pulse-amplitude modulation (PAM) signals transmitted over a noisy linear
-symbol memory channel, maximum likelihood sequence detection (MLSD) is asymptotically optimum in the sense that the exponent of the probability of symbol error in the limit of small noise is the largest that can be achieved by any detector. A reduced state detection (RSD) is developed with the aim of mitigating the computational complexity of MLSD while attaining the same error exponent as MLSD. In RSD, for each baud, the recent received signal levels delineate a certain list of the most probable of the
possible states. Retention of only the paths threading through these most probable states is the key to success of RSD. Suppose it is required that the number of states retained at any time not exceed
. When
is less than the number of states required for RSD, it is shown how to modify RSD so that no more than
states are retained and how to assess the degradation of the error exponent.
-level pulse-amplitude modulation (PAM) signals transmitted over a noisy linear
-symbol memory channel, maximum likelihood sequence detection (MLSD) is asymptotically optimum in the sense that the exponent of the probability of symbol error in the limit of small noise is the largest that can be achieved by any detector. A reduced state detection (RSD) is developed with the aim of mitigating the computational complexity of MLSD while attaining the same error exponent as MLSD. In RSD, for each baud, the recent received signal levels delineate a certain list of the most probable of the
possible states. Retention of only the paths threading through these most probable states is the key to success of RSD. Suppose it is required that the number of states retained at any time not exceed
. When
is less than the number of states required for RSD, it is shown how to modify RSD so that no more than
states are retained and how to assess the degradation of the error exponent.Keywords
Maximum-likelihood detection; PAM signal detection; Sequence estimation; Computational complexity; Convolution; Data systems; Degradation; Detectors; Gaussian noise; Maximum likelihood detection; Random variables; Signal to noise ratio; Telephony;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1977.1055770
Filename
1055770
Link To Document