NDLI: Maximal Ratio Combining using ANN-assisted equalisation in wireless channels

Content Provider	IEEE Xplore Digital Library
Author	Purkayastha, G.K. Sarma, K.K.
Copyright Year	2012
Description	Author affiliation: Department of Electronics and Communication Engineering, Gauhati University, Guwahati-781014, Assam, India (Purkayastha, G.K.; Sarma, K.K.)
Abstract	The work is related to the use of Artificial Neural Network (ANN) assisted equalization as an aid to Maximal Ratio Combining (MRC) in order to improve bit error rate (BER) values of demodulated signals in wireless channels that have both Gaussian and multipath fading characteristics. Modulation technique used in this work is Bipolar Phase Shift Keying (BPSK) in Gaussian and multipath Rayleigh fading channels. The work considers the use of ANN block as part of a MRC set-up and is tested under SNR variation between −10 to 10 dB in Gaussian and multipath fading channels. The results generated justify the use of the ANN block as an aid to the MRC setup.
Starting Page	36
Ending Page	39
File Size	215245
Page Count	4
File Format	PDF
ISBN	9781457707193
e-ISBN	9781457707209
DOI	10.1109/NCCISP.2012.6189701
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-02
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication ANN AWGN Bit error rate Diversity reception Artificial neural networks Rayleigh channels Signal to noise ratio Rayleigh MRC
Content Type	Text
Resource Type	Article

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Maximal Ratio Combining using ANN-assisted equalisation in wireless channels