基于指数基展开模型的双选择信道的迭代(Turbo)均衡

Hyosung Kim, Jitendra Tugnait
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引用次数: 0

摘要

提出了一种适用于双选择信道的自适应软输入软输出(SISO) turbo均衡接收机。所提出的接收机利用复指数基展开模型(CE-BEM)来描述整个信道变化,并利用自回归模型(AR)来描述BEM系数。我们将现有的基于通道符号智能AR建模的turbo均衡方法扩展到基于bem的通道。仿真示例和EXIT图分析表明,我们基于ce - bem的方法优于现有的基于符号智能AR模型的turbo均衡器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterative (Turbo) equalization for doubly-selective channels using exponential basis expansion models
We present an adaptive soft-input soft-output (SISO) turbo equalization receiver for doubly-selective channels. The proposed receiver exploits the complex exponential basis expansion model (CE-BEM) for the overall channel variations, and an autoregressive (AR) model for the BEM coefficients. We extend an existing turbo equalization approach based on symbol-wise AR modeling of channels to channels based on BEMs. Simulation examples and an EXIT chart analysis demonstrate that our CE-BEM-based approach outperforms the existing symbol-wise AR model-based turbo equalizer.
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