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Since the received MIMO-OFDM signal is usually corrupted in the time-domain due to some adverse factors such as frequency offset and large peak-to-average power ratio (PAPR) etc., a high-quality signal may only be obtained in the frequency domain. However, the second-order statistics of the time-domain signal are very often used in a blind or semi-blind channel estimation, which means that an IFFT...
LMMSE algorithm is one of the best linear channel estimations for time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) system. The research on the computational complexity reduction of LMMSE algorithm remains to be a challenging topic. Since the combination of fast Fourier transform with singular value decomposition (FFT-SVD) simplify the channel autocorrelation matrix computation...
In this paper, an adaptive MMSE channel estimation method is proposed for UWB-OFDM system. As we known, the MMSE algorithm is dependent on the auto-correlation of the known signals and the cross-correlation between the known signals and the signals to be estimated. These parameters are difficult to obtain in practice, because it needs a long-term statistic at the cost of huge complexity and time delay...
Conventionally, antenna arrays apply maximal-ratio combining (MRC) directly to received signals. However, the performance of MRC compensates for its high numerical complexity only for low antenna correlation, i.e., rarely, for space-limited base-stations in actual scenarios, where the azimuth spread (AS) is random and predominantly small. Maximal-ratio eigencombining (MREC), i.e., MRC of the outputs...
OFDM modulation combines the advantages of high achievable rates and relatively easy implementation. However, for proper recovery of the input, the OFDM receiver needs accurate channel information. Most algorithms proposed in literature perform channel estimation in the time domain which increases the computational complexity in multiaccess situations where the user is only interested in part of the...
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