Xu Hongji

Receive Antenna Subsets Selection Based on Orthogonal Componts

Multiple-antenna wireless communication systems have recently attracted significant attention due to their higher capacity and better immunity to fading as compared to systems that employ single-sensor transceiver. Increasing the number of transmit and receive antennas enables to improve system performance but at the price of higher hardware cost and computational burden due to the multiple RF chains. Antenna selection is a low-cost low-complexity alternative to capture many of the advantages of MIMO systems. In this paper, we propose a new antenna selection algorithm with low complexity for wireless multiple-input multiple-output (MIMO) systems. The new algorithm is based on the orthogonal components of the rows of channel matrix. It achieves almost the same outage capacity as the optimal selection method while keeping lower computational complexity. The simulation results for quasi-static Rayleigh flat fading channel demonstrate the significant performance of the proposed selection algorithm

On the Performance of a New Antenna Selection Algorithm Based on Orthogonal Components

Along with the multiple-input multiple-output (MIMO) system gains, comes a price in hardware complexity and cost due to multiple RF chains. It is possible to alleviate this cost and at the same time maintain many advantages of MIMO systems by a technique known as antenna selection. In this paper, we propose a new receive antenna selection algorithm which is based on the orthogonal components of the rows of channel matrix. It can achieve very nearly outage capacity with the optimal selection method while keep low computational complexity. Besides, the bit error rate (BER) performance under space-time block coding (STBC) transmit scheme demonstrates the significant performance of the proposed selection algorithm