| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 99 === In order to provide high quality services, current communication systems require high data rates and good performance. 3GPP prescribes SC-FDMA for uplink transmission in the LTE. SC-FDMA with MIMO spatial multiplexing technology can provide high data transmission rate. In MIMO SC-FDMA spatial multiplexing systems, maximum likelihood detection can provide optimal solution, but the data dimension is too large, thereby leading to prohibitive computational complexity. So MMSE and zero forcing are often used as the sub-optimal solution. Although the computational complexity is very low, the performance is not good. In the thesis, we introduce some sub-optimal data detection algorithms. Next, we propose two efficient data detection algorithms named PDP-assisted Random Perturbation algorithm and Hybrid algorithm. Finally, we verify with computer simulation that these two algorithms can reduce the computational complexity and obtain better performance, particularly as the data dimension increases or in the high SNR region.
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