NDLI: MIMO detectors comparison for its BER performance in various channels

Content Provider	IEEE Xplore Digital Library
Author	Jethva, J.B. Porwal, M.K.
Copyright Year	2014
Description	Author affiliation: Electron. & Commun. Eng. Dept., Shrinathji Inst. of Eng. & Technol., Nathdwara, India (Jethva, J.B.; Porwal, M.K.)
Abstract	The no. of users of wireless communication is increasing day by day, but as the radio spectrum is limited hence the only solution is to increase the data rates to accommodate more users. MIMO is a wireless technology that can efficiently increase the data transmission rate, improve system coverage and enhance link reliability. By employing multiple antennas at transmitter and receiver sides, MIMO techniques enable a new dimension- the spatial dimension - that can be utilized in different ways to combat the impairments of wireless channels. But Inter symbol Interference is the main problem, to reduce ISI there are different detection techniques used. This paper will focus on linear and Non linear Detection techniques in the AWGN (Additive White Gaussian Noise) channel, Rician Fading channel and the Rayleigh fading channel. This paper discusses different types of Detectors like Zero Forcing (ZF), Minimum Mean Square Error (MMSE), Maximum likelihood (ML) and Successive interference cancellation (SIC) and concludes that ML has better performance over other all. A simulation results shows in which fading channel getting better performance in terms of BER v/s SNR.
Sponsorship	IEEE Madras Sect.
Starting Page	1
Ending Page	6
File Size	309752
Page Count	6
File Format	PDF
e-ISBN	9781479935437
DOI	10.1109/ICAEE.2014.6838434
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inter symbol Interference (ISI) Equalizers Bit error rate Rician channels Multiple Input Multiple Output (MIMO) Detectors Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) Vectors Signal to noise ratio
Content Type	Text
Resource Type	Article

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