NDLI: Adaptive blind channel identification of FIR channels for Viterbi decoding

Content Provider	IEEE Xplore Digital Library
Author	Heath Jr., R.W. Halford, S.D. Giannakis, G.B.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA (Heath, R.W., Jr.)
Abstract	Relying upon the diversity introduced by fractional-sampling or by multiple sensors, two different approaches for blind adaptive channel identification are proposed based on existing batch algorithms. We show that the adaptive approach allows tracking of time-variations in the channel and provides robustness to nearly common channel roots. Existing second-order adaptive procedures typically employ suboptimal linear equalizers whereas the adaptive channel estimators we propose can be used in an optimal maximum likelihood sequence estimator. Simulations are provided that demonstrate the performance of the proposed channel estimators when used in the Viterbi algorithm for symbol detection.
Starting Page	320
Ending Page	324
File Size	484706
Page Count	5
File Format	PDF
ISBN	0818676469
ISSN	10586393
DOI	10.1109/ACSSC.1996.600882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Finite impulse response filter Viterbi algorithm Maximum likelihood estimation Maximum likelihood detection Blind equalizers Maximum likelihood decoding Sampling methods Robustness Intersymbol interference Resistance heating
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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