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Efficient Signal Detection Methods for High Mobility OFDM System with Transmit Diversity

机译:发射分集高效信号检测方法

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摘要

In this paper, we propose two efficient signal detection methods for high mobility space-time block code based orthogonal frequency division multiplexing (OFDM). The first proposed method is based on order block decision feedback equalizer (OBDFE) which is the column norm ordering version of the conventional BDFE method. To improve the system performance further, we have proposed a hybrid OBDFE-MPD method by cascading the OBDFE method with a multistage parallel decoder (MPD). The advantage of the OBDFE-MPD method is that it does not need additional complexity as most of the computations are performed in the initial stage by the OBDFE method. These two proposed methods are compared with minimum mean square error (MMSE), block linear minimum mean square error (BLMMSE), block decision feedback equalizer (BDFE), vertical Bell laboratories layered space-time (VBLAST) and space alternating generalized expectation maximization (SAGE) in terms of performance and computational complexity. From the simulation results and computational complexity, it is shown that both the proposed OBDFE and OBDFE-MPD methods provide a great trade-off between performance and computational complexity for high mobility OFDM system with transmit diversity.
机译:在本文中,我们提出了两个高效信号检测方法,用于高移动性空间 - 时间块码基正交频分复用(OFDM)。第一个提出的方法基于订单块判定反馈均衡器(OBDFE),其是传统BDFE方法的列规范版本。为了进一步提高系统性能,我们通过级联具有多级并行解码器(MPD)的OBDFE方法来提出混合欧多-MPD方法。 OBDFE-MPD方法的优点在于,由于大多数计算在初始阶段通过OBDFE方法执行大多数计算,它不需要额外的复杂性。将这两种提出的方​​法与最小均方误差(MMSE)进行比较,块线性最小均方误差(BLMMSE),块判定反馈均衡器(BDFE),垂直铃声实验室分层空间(VBLAST)和空间交替的广义期望最大化(在性能和计算复杂性方面。从仿真结果和计算复杂性来看,显示拟议的欧多德和欧多普夫 - MPD方法都提供了具有传输分集的高流动性的性能和计算复杂性之间的巨大权衡。

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