NDLI: Performance of joint data and channel estimation using tap variable step-size (TVSS) LMS for multipath fast fading channel

Content Provider	IEEE Xplore Digital Library
Author	Weilin Liu
Copyright Year	1994
Description	Author affiliation: ASCOM Tech. Ltd., Magenwil, Switzerland (Weilin Liu)
Abstract	Maximum-likelihood joint data and channel estimation with the so-called tap-variable step-size least mean square (TVSS-LMS) algorithm is proposed for the emerging Trans European Trunked RAdio (TETRA). It is shown that the TVSS-LMS is suggested by a simplification of the more sophisticated Kalman channel predictor. The different step sizes can be coarsely determined depending on the respective average channel tap power. Simulation results of a 16-state joint estimator show that for comparable complexity the TVSS-LMS considerably outperforms the conventional LMS in frequency-selective fast fading. Also in flat fading, where differential demodulation is near optimum for TETRA, the TVSS-LMS achieves almost the same bit error rate as a differential demodulation, while the conventional LMS experiences severe degradation.
Starting Page	973
Ending Page	978
File Size	593449
Page Count	6
File Format	PDF
ISBN	078031820X
DOI	10.1109/GLOCOM.1994.512803
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-11-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Least squares approximation Maximum likelihood estimation Fading Demodulation Land mobile radio Resonance light scattering Kalman filters Frequency estimation Degradation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Parallel Estimator with LMS Adaptation for Fast Fading Channels

Blind maximum likelihood sequence estimation for fading channels

Parallel structures for joint channel estimation and data detection over fading channels

Variable forgetting factor linear least squares algorithm for a frequency selective fading channel estimation

Adaptive equalization with RLS-MLSE for frequency-selective fast fading mobile radio channels

Blind maximum likelihood sequence detection

Joint data-channel estimation using the particle filtering on multipath fading channels

Adaptive PSP-MLSE receiver for GSM/EDGE system in fast multipath fading channels

Low-Complexity Algorithm for Tap-Selective Maximum Likelihood Estimation Over Sparse Multipath Channels

Performance of joint data and channel estimation using tap variable step-size (TVSS) LMS for multipath fast fading channel

Similar Documents

A Parallel Estimator with LMS Adaptation for Fast Fading Channels

Blind maximum likelihood sequence estimation for fading channels

Parallel structures for joint channel estimation and data detection over fading channels

Variable forgetting factor linear least squares algorithm for a frequency selective fading channel estimation

Adaptive equalization with RLS-MLSE for frequency-selective fast fading mobile radio channels

Blind maximum likelihood sequence detection

Joint data-channel estimation using the particle filtering on multipath fading channels

Adaptive PSP-MLSE receiver for GSM/EDGE system in fast multipath fading channels

Low-Complexity Algorithm for Tap-Selective Maximum Likelihood Estimation Over Sparse Multipath Channels

Performance of joint data and channel estimation using tap variable step-size (TVSS) LMS for multipath fast fading channel