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Dynamic Threshold Detection Using Clustering in the Presence of Channel Mismatch and Additive Noise

机译:使用群集在信道失配和添加剂噪声存在中使用聚类的动态阈值检测

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摘要

We report on the feasibility of k-means clustering techniques for the dynamic threshold detection of encoded q-ary symbols transmitted over a noisy channel with partially unknown channel parameters. We first assess the performance of k-means clustering technique without dedicated constrained coding. We apply constrained codes which allows a wider range of channel uncertainties so improving the detection reliability.
机译:我们报告了k-means聚类技术的可行性,用于通过部分未知信道参数在噪声信道上传输的编码q-ary符号的动态阈值检测的可行性。首先,首先评估K-Means聚类技术的性能,而无需专门的约束编码。我们应用受限代码,该代码允许更广泛的信道不确定性,从而提高检测可靠性。

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