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首页> 外文会议>2012 International Conference on Wireless Communications amp; Signal Processing >A soft-in soft-out detection approach using partial Gaussian approximation
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A soft-in soft-out detection approach using partial Gaussian approximation

机译：使用部分高斯近似的软入软出检测方法

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摘要

This paper concerns the implementation of the soft-in soft-out detector in an iterative detection system. A detection approach is proposed based on the properties of Gaussian functions. In this approach, for the computation of the APP (a posteriori probability) of a concerned symbol, the other symbols are distinguished based on their contributions to the APP of the concerned symbol, and the symbols with less contributions are treated as Gaussian variables to reduce the computational complexity. The exact APP detector and the well-known LMMSE (linear minimum mean square error) detector are two special cases of the proposed detector. Simulation results show that the proposed detector can significantly outperform the LMMSE detector, and achieve a good trade-off between complexity and performance.
机译：本文涉及在迭代检测系统中软输入软输出检测器的实现。提出了一种基于高斯函数性质的检测方法。在该方法中，为了计算相关符号的APP（后验概率），根据其他符号对相关符号APP的贡献来区分其他符号，并将贡献较小的符号视为高斯变量以减少计算复杂度。精确的APP检测器和众所周知的LMMSE（线性最小均方误差）检测器是该检测器的两个特殊情况。仿真结果表明，所提出的检测器可以明显优于LMMSE检测器，并且在复杂度和性能之间取得了良好的折衷。

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