Pipelined Multiuser Detection and Kalman Channel Estimation for MIMO SC-FDMA Systems

• Main Authors: Kuan-Hung Wu, 吳冠宏
• Other Authors: Fang-Biau Ueng
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/41876825999070339172

碩士 === 國立中興大學 === 通訊工程研究所 === 102 === 3GPP prescribes OFDMA for downlink transmission and SC-FDMA for uplink transmission in the long term evolution (LTE) of cellular systems in order to make the mobile terminal power-efficient. One disadvantage of OFDMA is the high peak-to-average power ratio (PAPR), which raises the cost and lowers the power efficiency of a transmitter’s power amplifier. With a lower PAPR, the power amplifiers at mobile terminals employing SC-FDMA can be simpler and more power-efficient than they would be with OFDMA transmission. I apply the channel estimation based on the Kalman algorithm and turbo equalization to multiuser MIMO SC-FDMA communication systems. MIMO system can enhance the spatial diversity and increase our information capacity. Kalman algorithm is a strong predictor and filter in recent researches. Turbo equalization is used to detect the signals from multiuser and to recover the original transmitted symbols. In VLSI hardware implementation, I use the pipelined architecture to separate the equalizer and decoder into several subblocks. It will make the signals processed parallel at the same time. The equalizer and decoder have no time being idle. The processing time can be shortened and the throughput of system will increase.