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Channel Estimation using LS and MMSE Algorithm

Published on October 2011 by Barnali Dey, Awanish Kumar, Prashant Kumar, Sanjit Lal, Naveen Kumar, Bikash Sharma
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International Symposium on Devices MEMS, Intelligent Systems & Communication
Foundation of Computer Science USA
ISDMISC - Number 9
October 2011
Authors: Barnali Dey, Awanish Kumar, Prashant Kumar, Sanjit Lal, Naveen Kumar, Bikash Sharma
b11c2a0c-8700-4665-b750-9714dfe94786

Barnali Dey, Awanish Kumar, Prashant Kumar, Sanjit Lal, Naveen Kumar, Bikash Sharma . Channel Estimation using LS and MMSE Algorithm. International Symposium on Devices MEMS, Intelligent Systems & Communication. ISDMISC, 9 (October 2011), 32-35.

@article{
author = { Barnali Dey, Awanish Kumar, Prashant Kumar, Sanjit Lal, Naveen Kumar, Bikash Sharma },
title = { Channel Estimation using LS and MMSE Algorithm },
journal = { International Symposium on Devices MEMS, Intelligent Systems & Communication },
issue_date = { October 2011 },
volume = { ISDMISC },
number = { 9 },
month = { October },
year = { 2011 },
issn = 0975-8887,
pages = { 32-35 },
numpages = 4,
url = { /proceedings/isdmisc/number9/3784-isdm198/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Symposium on Devices MEMS, Intelligent Systems & Communication
%A Barnali Dey
%A Awanish Kumar
%A Prashant Kumar
%A Sanjit Lal
%A Naveen Kumar
%A Bikash Sharma
%T Channel Estimation using LS and MMSE Algorithm
%J International Symposium on Devices MEMS, Intelligent Systems & Communication
%@ 0975-8887
%V ISDMISC
%N 9
%P 32-35
%D 2011
%I International Journal of Computer Applications
Abstract

In this paper, we describe the channel estimation based on time domain channel statistics. Using a general model for a slowly fading channel, we present the MMSE and LS estimators. The mean square error and symbol error rate for a BPSK system is presented by means of simulation results. Depending upon estimator complexity, up to 4 dB in SNR can be gained over the LS estimator.

References
  1. John Proakis, digital communication, McGraw-Hill, 1989.
  2. Louis L. Scharf, Statistical Signal Processing, Addison-Wesley, 1991.
  3. S.Haykin and B.Widrow, Least-mean-square adaptive filters.
  4. Vineet Srivastava, Chin Keong Ho, Patrick Ho Wang Fung and Sunei Sun, Robust MMSE channel estimation in OFDM systems with practical timing synchronization.
  5. Asad Mehmood, Obaid Ullah and Macharla Kranthi Kumar, Using LS algorithm to estimate CIR for OFDM system over multipath fading channel.
  6. Shigenori Kinjo, A new MMSE channel estimation algorithm for OFDM systems.
  7. T.S.Rappaport, Principle of wireless communication, 2nd edition.
Index Terms

Computer Science
Information Sciences

Keywords

Channel estimation Minimum mean square error (MMSE) Least square (LS) Kalman filter Orthogonal frequency division multiplexing(OFDM)