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首页> 外文期刊>IEEE communications letters >A Low-Complexity Detection Method for Statistical Signals in OFDM Systems
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A Low-Complexity Detection Method for Statistical Signals in OFDM Systems

机译：OFDM系统中统计信号的低复杂度检测方法

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摘要

Based on the bijective mapping between cyclostationary features and the cyclic delays in orthogonal frequency division multiplexing (OFDM) systems, cyclostationary signatures can be used for signal representation in statistical spectrum domain. However, the conventional detection method for this kind of statistical signals is hindered by huge computational complexity. In this letter, we propose a novel detection method for such statistical signals with cyclostationarity, which only extract local features on the cyclic autocorrelation function (CAF) coordinate plane. Analytical and simulation results show that the proposed method achieves significant performance gain over the conventional detection method under practical scenarios, even with the reduced computational complexity.
机译：基于正交频分复用（OFDM）系统中循环平稳特征与循环延迟之间的双射映射，可以将循环平稳特征用于统计频谱域中的信号表示。但是，这种统计信号的常规检测方法由于计算量大而受到阻碍。在这封信中，我们提出了一种具有循环平稳性的此类统计信号的新颖检测方法，该方法仅提取循环自相关函数（CAF）坐标平面上的局部特征。分析和仿真结果表明，即使在降低计算复杂度的情况下，该方法在实际情况下也比常规检测方法具有显着的性能提升。

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