NDLI: A simple Kalman channel Equalizer using adaptive algorithms for time variant channel

Content Provider	IEEE Xplore Digital Library
Author	Katwal, S. Nath, R. Murmu, G.
Copyright Year	2011
Description	Author affiliation: Department of Electronics Engineering, Indian School of Mines, Dhanbad, Jharkhand, India-826004 (Murmu, G.) \|\| Department of Electrical Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India-177005 (Katwal, S.; Nath, R.)
Abstract	In this paper, Discrete Kalman filter is used as an equalizer for digital transmission because it suppresses the noise and intersymbol interference (ISI). Kalman equalizer is based on the least square optimization criterion and its structure is made adaptive by combining it in parallel with adaptive algorithms to estimate the channel coefficients. Least mean square (LMS) and Recursive Least Square (RLS) adaptive algorithms are used for identification of channel coefficients and have been implemented to study the performance of Kalman Equalizer. The performance index, Bit Error Rate (BER), of Kalman Equalizer with RLS and LMS adaptive algorithms named K-RLS and K-LMS respectively is studied via computer simulation for different SNR scenario. Simulation results shows that the performance of K-RLS has less BER as compared to that of K-LMS.
Starting Page	178
Ending Page	181
File Size	3085315
Page Count	4
File Format	PDF
ISBN	9781612846545
e-ISBN	9781612846538
DOI	10.1109/ICSCCN.2011.6024539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Equalizers LMS Noise Kalman equalizer Channel estimation Adaptive algorithms Signal processing algorithms RLS Kalman filters Least squares approximation
Content Type	Text
Resource Type	Article

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