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Paper Details
Paper Title
Enhancement in the performance of channel estimation for OFDM based system using bacterial foraging optimization and neural network
Authors
Deepinder Sharma, Dr. Jyoti Saxena
Abstract
Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation technique used in various broadband systems and has ability to cope with severe channel conditions without complex equalization filters. The benefit of OFDM is spectral efficiency which measures the efficient use of bandwidth. This study combines feed forward back propagation neural network with bacterial foraging optimization (BFO) for the estimation of channel to improve the performance and convergence rate. Minimum mean square error (MMSE) algorithm is used for channel estimation. The performance of bit error rate (BER) and MSE with respect to signal to noise ratio (SNR) is observed.
Keywords- Channel estimation, OFDM, MMSE, neural network, BER, SNR.
Publication Details
Unique Identification Number - IJEDR1602356Page Number(s) - 2025-2031Pubished in - Volume 4 | Issue 2 | July 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Deepinder Sharma, Dr. Jyoti Saxena, "Enhancement in the performance of channel estimation for OFDM based system using bacterial foraging optimization and neural network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.2025-2031, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1602356.pdf
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