Joint space-time trellis code detection and MIMO equalisation via particle filtering

R. Piechocki, C. Andrieu, C. Vithanage, Joe McGeehan
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引用次数: 1

Abstract

In this contribution we address the problem of MIMO equalisation and transmit diversity. More specifically, we develop a method that jointly decodes space time trellis coded modulation (STTCM) encoded signals and equalises the MIMO channels. The optimal solution for such a setup would require construction of a super-trellis that describes a finite state machine resulting from the combination of MIMO channel and STTCM trellises. However, the number of states in this super-trellis is typically gigantic and as such prohibits practical application. Our solution is based on sequential Monte Carlo technique (aka particle filter), which has gained much interest recently in the communications community. The structure of the STTCM code is incorporated into the proposal distribution of the particle filter. As a results a significant reduction in complexity has been achieved as compared not only to the brute force super-trellis approach, but also when compared to the conventional "turbo" solution.
联合空时格码检测与粒子滤波MIMO均衡
在本贡献中,我们解决了MIMO均衡和传输分集的问题。更具体地说,我们开发了一种联合解码时空网格编码调制(STTCM)编码信号并均衡MIMO信道的方法。这种设置的最佳解决方案需要构建一个超级网格,该超级网格描述了由MIMO信道和STTCM网格组合而成的有限状态机。然而,这种超级网格中的状态数量通常是巨大的,因此阻碍了实际应用。我们的解决方案基于顺序蒙特卡罗技术(又名粒子滤波),该技术最近在通信社区中引起了很大的兴趣。将STTCM码的结构融入到粒子滤波器的建议分布中。结果,不仅与蛮力超级网格方法相比,而且与传统的“涡轮”解决方案相比,复杂性显著降低。
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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