Channel Estimation Using DFT Based Automoly Classifying Neural Network

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Networking
Format: PDF
Channel estimation refers to the evaluation of the performance of a channel through which the data is sent. MIMO OFDM (Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing) systems are quite effective in terms of sending bulk data to the receiving end but it suffers with few problems also, like high amplification to noise ratio, etc. In such a scenario estimation techniques defines the ways of optimization against the data packets send and received through the channel. DFT is one of the effective techniques which can be used for the channel estimation.
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