A REVIEW ON CHANNEL ESTIMATION USING BP NEURAL NETWORK FOR OFDMJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 9)
Publication Date: 2015-09-30
Authors : Bandana Dobriyal;
Page : 300-304
Keywords : KEYWORDS: Artificial neural network (ANN); Back Propogation Neural Network (BPN); LSE; MMSE; OFDM.;
OFDM systems are limited by multipath fading. Previously channel estimation was carried out by transmitting pilot symbols in OFDM .The techniques used were comb type pilot arrangement and block type arrangement using LSE, MMSE etc. In this paper we are providing review of using neural network (BPN) based approach for estimation and comparing it with both LSE and MMSE. BPN makes use of learning property of neural network and is more efficient because is less complex than pilot based technique. This paper provides survey of available literature of some methodologies employed by different researchers to utilize ANN for channel estimation.
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