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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Factor graph based detection approach for high-mobility OFDM systems with large FFT modes
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Factor graph based detection approach for high-mobility OFDM systems with large FFT modes

机译:具有大FFT模式的高迁移率OFDM系统中基于因子图的检测方法

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摘要

In this article, a novel detector design is proposed for orthogonal frequency division multiplexing (OFDM) systems over frequency selective and time varying channels. Namely, we focus on systems with large OFDM symbol lengths where design and complexity constraints have to be taken into account and many of the existing ICI reduction techniques can not be applied. We propose a factor graph (FG) based approach for maximum a posteriori (MAP) symbol detection which exploits the frequency diversity introduced by the ICI in the OFDM symbol. The proposed algorithm provides high diversity orders allowing to outperform the free-ICI performance in high-mobility scenarios with an inherent parallel structure suitable for large OFDM block sizes. The performance of the mentioned near-optimal detection strategy is analyzed over a general bit-interleaved coded modulation (BICM) system applying low-density parity-check (LDPC) codes. The inclusion of pilot symbols is also considered in order to analyze how they assist the detection process.
机译:在本文中,提出了一种新颖的检波器设计,用于频率选择和时变信道上的正交频分复用(OFDM)系统。即,我们专注于具有大OFDM符号长度的系统,其中必须考虑设计和复杂性约束,并且许多现有的ICI降低技术无法应用。我们提出一种用于最大后验(MAP)符号检测的基于因子图(FG)的方法,该方法利用了ICI在OFDM符号中引入的频率分集。所提出的算法提供了高分集阶数,从而允许以适合大OFDM块大小的固有并行结构在高移动性场景中胜过免费ICI性能。在使用低密度奇偶校验(LDPC)码的通用位交错编码调制(BICM)系统上分析了上述接近最佳检测策略的性能。还考虑包括导频符号,以便分析它们如何协助检测过程。

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