NDLI: Smoothing term based noise correlation matrix construction for MIMO-OFDM wireless networks for impulse noise mitigation

Content Provider	IEEE Xplore Digital Library
Author	Girija, S.P. Rao, K.D.
Copyright Year	2015
Description	Author affiliation: Res. & Training Unit for Navig. Electron., Osmania Univ., Hyderabad, India (Girija, S.P.; Rao, K.D.)
Abstract	In wireless systems noise mitigation is a significant factor for competent working. Impulsive noise is one of the most important sources of performance degradation in wireless systems. Conventional linear zero-forcing (ZF) equalizer does not carry out pleasingly as the diversity order does not monotonically rise with the signal-to-noise ratio (SNR). In order to rise above such a problem, in this paper, we construct an enhanced linear ZF equalizer, which alleviates; in the impulse noise based minimum mean output-energy (SMMOE) sense, the impulse noise contribution at the equalizer output. In this paper, the terminology “smoothing term based minimum mean outputenergy” is taken and adapted with impulse noise in terms of signal-to-noise ratio (SNR). The study of the technique is performed by determining the assessment metrics of Bit Error Rate (BER), Mean Square Error (MSE) and Symbol Error Rate (SER) regarding SNR and dissimilar antenna array size. The experimental effects confirms that the proposed system attained good results by getting lower BER, MSE and SER curves when contrasted with other techniques.
Starting Page	1
Ending Page	5
File Size	791975
Page Count	5
File Format	PDF
ISBN	9781479986392
ISSN	21593450
e-ISBN	9781479986415
DOI	10.1109/TENCON.2015.7372986
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Equalizers Signal to noise ratio Bit error rate Antennas Smoothing methods Correlation MIMO Signal-to-noise ratio Zero-forcing MIMO-OFDM Minimum mean output-energy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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