| Summary: | 碩士 === 國立中興大學 === 通訊工程研究所 === 100 === In order to provide high quality services, current communication systems require high data transmission rate and excellent error performance, especially for the wireless communications. Because SC-FDMA (Single Carrier Frequency Division Multiple Access) combines the desirable characteristics of OFDMA with the low PAPR (Peak-to-Average Power Ratio) of single-carrier transmission schemes, it has been adopted as the uplink transmission scheme in 3GPP LTE (3rd Generation Partnership Project Long Term Evolution) to approach the demand for data transmission rate and error performance. By combining multiple-input multiple-output (MIMO) techniques with the SC-FDMA modulation scheme, the MIMO SC-FDMA systems can achieve high data rate over broadband wireless channels. In this thesis, to develop a (semi-) blind channel estimation algorithm using the principle of the low-density parity-check (LDPC) codes for MIMO SC-FDMA transmission with the Alamouti-like block code applied on each transmitted block for the multiuser scenario. Based on the unitary property of Space Frequency Block Coding (SFBC), we can be using the frequency domain minimum mean-square error (MMSE) and zero-forcing equalizer with multiuser interference cancellation (MUIC) technique at receiver side on each subcarrier to recover transmitted symbols, and proposed a low complexity iterative multiuser detection with LDPC-like decoder for channel decoding. Simulations for an uplink scenario assess the proposed algorithms in several environments.
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