Antenna/sampling point selection algorithm in fractional sampling-MIMO-OFDM

H. Higuchi, H. Nishimura, Y. Sanada
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引用次数: 5

Abstract

MIMO-OFDM systems are expected to realize higher data rates and larger capacity. With more transmit and receive antennas the capacity of MIMO-OFDM systems increases. However, when the number of demodulators is limited, it is essential to select antenna points which achieve selection diversity. On the other hand, through Fractional Sampling (FS), it is possible to separate multipath components and obtain diversity gain. Just like MIMO systems, FS achieves selection diversity by selecting sampling points. This paper presents an antenna/sampling point selection algorithm for MIMO-OFDM systems with Fractional Sampling. Utilizing the characteristics of the correlation among the sampling points in FS, the proposed selection algorithm offers significantly lower computational complexity than conventional algorithms. The proposed algorithm is confirmed through the computational simulations.
分数阶采样- mimo - ofdm中的天线/采样点选择算法
MIMO-OFDM系统有望实现更高的数据速率和更大的容量。MIMO-OFDM系统的容量随着发射天线和接收天线的增加而增加。但是,在解调器数量有限的情况下,必须选择能够实现选择分集的天线点。另一方面,通过分数采样(FS)可以分离多径分量并获得分集增益。与MIMO系统一样,FS通过选择采样点来实现选择多样性。提出了一种用于分数采样MIMO-OFDM系统的天线/采样点选择算法。该算法利用了FS中采样点之间的相关性特点,大大降低了传统算法的计算复杂度。通过计算仿真验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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