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Training-based channel estimation involves probing of the channel in time, frequency, and space by the transmitter with known signals, and estimation of channel parameters from the output signals at the receiver. Traditional training-based methods, often comprising of maximum likelihood estimators, are known to be optimal under the assumption of rich multipath channels. Numerous measurement campaigns...
Coherent data communication over doubly-selective channels requires that the channel response be known at the receiver. Training-based schemes, which involve probing of the channel with known signaling waveforms and processing of the corresponding channel output to estimate the channel parameters, are commonly employed to learn the channel response in practice. Conventional training-based methods,...
Time-varying multi path channels lead to the loss of orthogonality among sub-carriers, resulting in inter carrier interference (ICI) in OFDM systems. Different from many schemes which only focus on equalizer design, our paper consider the entire receiver, and propose the semi-blind channel estimation and detection for OFDM systems in time-varying multi path channel. Theoretical analysis and simulation...
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