Title :
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
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;
Conference_Titel :
Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
978-1-4577-0719-3
DOI :
10.1109/NCCISP.2012.6189701
