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首页> 外文期刊>IEEE Transactions on Communications >Joint Self-Iterating Equalization and Detection for Two-Dimensional Intersymbol-Interference Channels
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Joint Self-Iterating Equalization and Detection for Two-Dimensional Intersymbol-Interference Channels

机译：二维符号间干扰信道的联合自迭代均衡和检测

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摘要

We develop several novel signal detection algorithms for two-dimensional intersymbol-interference channels. The contribution of the paper is two-fold: (1) We extend the one-dimensional maximum a-posteriori (MAP) detection algorithm to operate over multiple rows and columns in an iterative manner. We study the performance vs. complexity trade-offs for various algorithmic options ranging from single row/column non-iterative detection to a multi-row/column iterative scheme and analyze the performance of the algorithm. (2) We develop a self-iterating 2-D linear minimum mean-squared based equalizer by extending the 1-D linear equalizer framework, and present an analysis of the algorithm. The iterative multi-row/column detector and the self-iterating equalizer are further connected together within a turbo framework. We analyze the combined 2-D iterative equalization and detection engine through analysis and simulations. The performance of the overall equalizer and detector is near MAP estimate with tractable complexity, and beats the Marrow Wolf detector by about at least 0.8 dB over certain 2-D ISI channels. The coded performance indicates about 8 dB of significant SNR gain over the uncoded 2-D equalizer-detector system.
机译：我们为二维符号间干扰通道开发了几种新颖的信号检测算法。本文的贡献有两个方面：（1）我们扩展了一维最大后验（MAP）检测算法，以迭代方式对多个行和列进行操作。我们研究了从单行/列非迭代检测到多行/列迭代方案的各种算法选项的性能与复杂度之间的权衡，并分析了算法的性能。 （2）通过扩展一维线性均衡器框架，开发了基于自迭代的二维线性最小均方的均衡器，并对算法进行了分析。迭代多行/列检测器和自迭代均衡器在Turbo框架内进一步连接在一起。我们通过分析和仿真来分析组合的二维迭代均衡和检测引擎。总体均衡器和检波器的性能接近MAP估计，且具有复杂的处理能力，并且在某些2-D ISI通道上比Marrow Wolf检波器至少好0.8 dB。编码性能表明，在未编码的2D均衡器-检测器系统上，大约有8 dB的显着SNR增益。

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