We propose low-complexity equalizers for Alamouti space-time coded orthogonal frequency-division multiplexing (OFDM) systems in time- and frequency-selective channels, by extending the approach formerly proposed for single-antenna OFDM systems. The complexity of the proposed algorithm is linear in the number of subcarriers by exploiting the band structure of the frequency-domain channel matrix and a band LDLH factorization. We design minimum mean squared error (MMSE) block linear equalizers (BLE) and block decision- feedback equalizers (BDFE) with and without windowing. We also develop a low-complexity algorithm that adaptively selects the useful bandwidth of the channel matrix. Simulation results show that the proposed algorithm produces a correct estimate of the bandwidth parameter.
Alamouti Space-Time Coded OFDM Systems in Time- and Frequency-Selective Channels
RUGINI, LUCA
2006
Abstract
We propose low-complexity equalizers for Alamouti space-time coded orthogonal frequency-division multiplexing (OFDM) systems in time- and frequency-selective channels, by extending the approach formerly proposed for single-antenna OFDM systems. The complexity of the proposed algorithm is linear in the number of subcarriers by exploiting the band structure of the frequency-domain channel matrix and a band LDLH factorization. We design minimum mean squared error (MMSE) block linear equalizers (BLE) and block decision- feedback equalizers (BDFE) with and without windowing. We also develop a low-complexity algorithm that adaptively selects the useful bandwidth of the channel matrix. Simulation results show that the proposed algorithm produces a correct estimate of the bandwidth parameter.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
