Maximal Ratio Combining using ANN-assisted equalisation in wireless channels

Author

Purkayastha, Gargi Kar ; Sarma, Kandarpa Kumar

Author_Institution

Dept. of Electron. & Commun. Eng., Gauhati Univ., Guwahati, India

fYear

2012

fDate

2-3 March 2012

Firstpage

36

Lastpage

39

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.

Keywords

Rayleigh channels; demodulation; diversity reception; equalisers; error statistics; multipath channels; neural nets; phase shift keying; ANN-assisted equalisation; Gaussian fading characteristic; artificial neural network; bipolar phase shift keying; bit error rate; demodulated signals; maximal ratio combining; multipath Rayleigh fading channels; multipath fading characteristic; wireless channels; Artificial neural networks; Bit error rate; Diversity reception; Rayleigh channels; Signal to noise ratio; Wireless communication; ANN; AWGN; MRC; Rayleigh;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on

Conference_Location

Guwahati, Assam

Print_ISBN

978-1-4577-0719-3

Type

conf

DOI

10.1109/NCCISP.2012.6189701

Filename

6189701