In this letter, we propose a novel deep learning based approach for joint channel estimation
and signal detection in orthogonal frequency division multiplexing (OFDM) systems by …

Orthogonal frequency division multiplexing (OFDM) is used for wireless data transfer
because of its robustness to narrow band interference, frequency selective fading and …

A compressed sensing (CS) based channel estimation algorithm is proposed by using the
delay-Doppler sparsity of the fast fading channel. A compressive basis expansion channel …

Scattered pilot-aided channel estimation in offset QAM-based filter bank multicarrier
(FBMC/OQAM) systems has so far been only considered for slow fading channels. In more …

In this paper, an optimized channel estimation and symbol detection technique using a
combination of Kalman Filter (KF) and Recurrent Neural Networks (RNN) is proposed. The …

In this paper, we have proposed a Kalman Filter (KF)-Recurrent Neural Network (RNN)
based channel estimator block for Multiple-Input Multiple-Output (MIMO) multipath fading …

Alamouti's space-time block coding (STBC) with diversity gains provide improved
performance in faded channels. Alamouti's transmit diversity scheme, however, relies on the …

Multi input multi output system (MIMO) has become a viable option to meet the demand of
high data rate wireless communication. But MIMO system performance is severely affected …

The inherent feature of the highly efficient spectrum usage has made Orthogonal Frequency
Division Multiplexing (OFDM) preferable for Communication Standards. This study …

Multi input multi output system (MIMO) has become a viable option to meet the demand of
high data rate wireless communication. But MIMO system performance is severely affected …