Efficient decoding methods in MIMO systems

A. Reddy
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Abstract

A typical MIMO system utilizes multiple antennas to transmit simultaneously several independent data streams to the receiver end. As a result of this inter-stream interference is said to occur since the reception of each stream at the receiver will be disturbed not only by noise but from the interference of other streams as well. In order to successfully detect and decode the received signal, joint detection and decoding can be employed to separate and recover the transmitted data in the best possible manner. This approach has huge complexity which grows exponentially as the number of antennas increases, thus prohibiting its implementation in a real time system. For real time implementation computationally effective methods are sought after but which often does not necessarily yield the best performance thus incurring a performance-complexity trade-off. The current research in this area has led to the development of both linear and non-linear techniques most of which are computationally intensive and complex. This paper discusses low complexity methods which are suitable for real time applications.
MIMO系统中的高效解码方法
典型的MIMO系统利用多个天线同时向接收端传输多个独立的数据流。由于这种流间干扰被认为是发生的,因为接收器接收每个流不仅会受到噪声的干扰,而且还会受到其他流的干扰。为了成功地检测和解码接收到的信号,可以采用联合检测和解码,以最好的方式分离和恢复传输的数据。这种方法的复杂性随着天线数量的增加呈指数增长,因此无法在实时系统中实现。对于实时实现,人们寻求计算上有效的方法,但这些方法往往不一定能产生最佳性能,从而导致性能复杂性的权衡。目前在这一领域的研究已经导致了线性和非线性技术的发展,其中大多数是计算密集和复杂的。本文讨论了适合于实时应用的低复杂度方法。
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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