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Performance of perfect space-time codes under linear MMSE equalization and BLAST based decoding for large data rates

机译:线性MMSE均衡和基于BLAST的大数据速率解码下的完美时空编码性能

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Space-time block codes which follow the perfect coding principle are a new class of full-rate linear-dispersion codes which are also fully diverse. These codes are therefore optimal in terms of the diversity-multiplexing tradeoff put forward by Zheng and Tse. However, this condition is dependent on the decoding method also being optimal, hence some form of maximum-likelihood decoding should be employed. For large multiple-input multiple-output arrays where latency and throughput are the limiting factors it is more practical to use linear equalization based receivers. In this paper we explore the effects of linear minimum mean-square error (MMSE) based decoding with and without optimal ordering and symbol cancellation (BLAST) on various perfect space-time block codes up to 8 × 8 arrays both with and without channel coding for bits per channel-use up to 48. These results are compared to equivalent spatial multiplexing systems using the same linear de-multiplexing used in many state-of-the-art commercial systems.
机译:遵循完美编码原理的空时分组码是一类新型的全速率线性色散码,其种类也十分丰富。因此,根据Zheng和Tse提出的分集复用权衡,这些代码是最佳的。但是,该条件取决于解码方法是否也是最佳的,因此应采用某种形式的最大似然解码。对于延迟和吞吐量是限制因素的大型多输入多输出阵列,使用基于线性均衡的接收器更为实用。在本文中,我们探讨了基于线性最小均方误差(MMSE)的解码(带有和不带有最佳排序和符号消除(BLAST))对各种有和不带有通道编码的高达8×8阵列的理想空时分组码的影响每通道最多可使用48个比特。将这些结果与等效的空间多路复用系统进行比较,该系统使用了许多先进的商用系统中使用的相同线性多路分解。

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