Reduced-Complexity Antenna Selection for MIMO Communication Systems

• Main Authors: Rui-Xiang Ma, 馬瑞祥
• Other Authors: Jia-zhang Hu
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/29555837396494615655

碩士 === 國立中正大學 === 通訊工程研究所 === 95 === Multi-input multi-output (MIMO) communication systems that employ more than one antenna element at both transmitter and receiver are showed to be an efficient method to increase channel capacity. For MIMO communication systems, the major concern is the hardware complexity and computational cost. A promising solution way is to employ the antenna subset selection at the receiver and the antennas are selected to maximize channel capacity. In order to reduce capacity loss and maximize channel capacity, the thesis uses two antenna selection schemes, decremental selection algorithm (DSA) and incremental selection algorithm (ISA), which recursively drop or select one more antenna element in the pre step. However, there are high computational complexity of matrix inversion in these algorithms. In order to reduce computational complexity, the Householder transformation is utilized to alleviate the overall computational complexity of the system. Finally, simulations are conducted to compare these antenna selection algorithms in terms of computational complexity and performance.