DocumentCode
2470218
Title
Iterative sequence estimation using unconstrained state space
Author
Alexander, Paul D. ; Grant, Alex J.
Author_Institution
Centre for Wireless Commun., Singapore
fYear
1998
fDate
16-21 Aug 1998
Firstpage
242
Abstract
Iterative sequence estimation complexity for concatenated finite state machines may be reduced if one of the constituent FSMs is linear and an appropriate vector space can be defined
Keywords
computational complexity; concatenated codes; finite state machines; iterative decoding; maximum likelihood decoding; maximum likelihood sequence estimation; state-space methods; CDMA; ISI; concatenated finite state machines; decoding; encoding; iterative sequence estimation; unconstrained state space; vector space; Automata; Concatenated codes; Decoding; Gaussian noise; Interference cancellation; Multiaccess communication; Noise cancellation; State estimation; State-space methods; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-5000-6
Type
conf
DOI
10.1109/ISIT.1998.708847
Filename
708847
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