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International Journal of Smart Sensor and Adhoc Network

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a special type of multicarrier technique where a single data stream is transmitted over a number of low rate sub carriers. OFDM has been adopted as the modulation method of choice for practically all the new wireless technologies being used and developed today. But symbol recovery is still a problem area in OFDM. We have used an Artificial Neural Network (ANN) for recovery of symbols transmitted using different sub-carriers in OFDM. The investigation is made in the multipath fading environment using different modulation techniques. The ANN is trained to recover symbols transmitted using different modulation schemes and with multiple subcarriers. The experimental results derived show the effectiveness of the model proposed.

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