NDLI: Simulation of various adaptive techniques in wireless: A comprehensive view

Content Provider	IEEE Xplore Digital Library
Author	Kumar, R. Kumar, A. Singh, S.P.
Copyright Year	2015
Description	Author affiliation: Dept. of ECE, G.C.E.T., Greater Noida, India (Kumar, R.; Kumar, A.; Singh, S.P.)
Abstract	In this paper, we have analyzed the simulation of various adaptive techniques used in wireless communication as a comprehensive view. For this analysis we have derived the algorithm for least mean square (LMS), recursive least square (RLS) and minimum mean square error (MMSE). These adaptive filtering techniques are the best way to mitigate the effect of interference in a communication system. As the power of digital signal processors has increased, adaptive filters have become much more common and are now routinely used in devices such as mobile phones and other communication devices, camcorders and digital cameras, and medical monitoring equipment. Moreover, we have performed the simulation of LMS and RLS algorithm with their error rejection. We, hope that this paper will help both academic as well as industry research by providing the various adaptive techniques at one place along with their simulation result.
Starting Page	1621
Ending Page	1625
File Size	401145
Page Count	5
File Format	PDF
e-ISBN	9781479972258
DOI	10.1109/ECS.2015.7124861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Finite impulse response filters Least squares approximations LMS Noise Adaptive filters MMSE Interference Mean square error methods Adaptive filtering RLS
Content Type	Text
Resource Type	Article

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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
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