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Estimation of Multi Input Multi Output (MIMO) channels can be performed by Artificial Neural Network (ANN)s such as Multi Layer Perceptron (MLP)s. However, the cost of training overload in case of time varying MIMO channels is the main bottleneck of such ANN architectures for which a viable alterative, namely, the Recursive Recurrent Network (RNN) is explored. Although for tightly coupled real and...
This paper proposes a simple and low complexity method for channel equalization of MIMO system. Channel equalization of multiple inputs multiple outputs cost 203 fading frequency-time selective channel is simulated. Temporal variations in channel are due to the Doppler spread, a sign of relative motion between transmitter and receiver. This paper applies the MIMO concept for gradient lattice filters...
Multiple-input multiple-output (MIMO) technology using orthogonal frequency division multiplexing (OFDM) together called MIMO-OFDM has emerged as the viable alterative to meet the demands of greater bandwidth and quality of service of the ever expanding mobile communication networks. For MIMO-OFDM systems channel estimation is one of the challenging issues. Statistical characteristics of wireless...
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