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Superimposed training (ST) is used to estimate channel in orthogonal frequency division multiplexing (OFDM) systems which results in higher throughput than the time/frequency multiplexed training schemes. Orthogonal affine precoders (OAP) are used in ST-based SISO/MIMO-OFDM system to cancel the interference caused due to simultaneous data transmission. We analyze the peak to average power ratio (PAPR)...
Precoder matrices are used in various contexts in the MIMO-OFDM systems. In particular, orthogonal affine precoder (OAP) is used in superimposed training (ST) based MIMO-OFDM system to nullify the data training interference. Precoders are also used to reduce the peak to average power ratio (PAPR) of MIMO-OFDM. In general, the OAP does not reduce the PAPR. In this paper a ZC based OAP is proposed that...
In this paper, the problem of channel estimation for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) is addressed. Colored interference at the receiver of the MIMO-OFDM is assumed. The linear minimum mean square error (LMMSE) estimator of the channel is derived in the presence of colored interference. The optimal training signal is also designed which minimizes the...
In this study, the design of a superimposed training (ST) for an interference-limited spatially correlated multiple-input–multiple-output (MIMO) system is addressed and a closed-form solution for designing the training signal is proposed in a sub-optimal way. Earlier papers have considered noise limited MIMO systems. The authors also propose random/orthogonal variable spread factor (OVSF) codes as...
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