Title :
Neural network estimation for MIMO-OFDM receivers
Author :
George, Mathew ; Francis, Anish ; Mathew, Binu
Author_Institution :
Dept. of ECE, Amal Jyothi Coll. of Eng., Kottayam, India
Abstract :
Orthogonal frequency division multiplexing (OFDM) has high data rate capacity and lower Inter Symbol Interference (ISI) and is considered as the best solution for next generation mobile communication. Multiple Inputs and Multiple Output (MIMO) antenna system improve reception through spatial diversity and high end coding. Combining these two, offers high interference mitigation in wireless receivers. In this paper, the effects of neural network aided estimation in such receivers are considered. Neural network acts as a pre-processing block to the estimator. The effects of training parameters of the neural network in bit error rate are presented. The training volumes and number of hidden neurons are varied and tested for wide simulation environments.
Keywords :
MIMO communication; OFDM modulation; diversity reception; error statistics; estimation theory; intersymbol interference; neural nets; next generation networks; radio receivers; telecommunication computing; ISI; MIMO-OFDM receivers; bit error rate; data rate capacity; inter symbol interference; interference mitigation; multiple inputs multiple output antenna system; neural network estimation; next generation mobile communication; orthogonal frequency division multiplexing; pre-processing block; spatial diversity; wireless receivers; Biological neural networks; Channel estimation; MIMO; OFDM; Receivers; Training; Channel Estimation; MIMO; Neural Network; OFDM;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
DOI :
10.1109/ICCPCT.2014.7054890
