基于统计矩的MPSK信号分类器

IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record Pub Date : 1991-12-02 DOI:10.1109/GLOCOM.1991.188358

Yawpo Yang, S. Soliman

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引用次数: 19

摘要

本文提出了一种基于矩的分型器，利用精确的相位分布，利用相位的矩对MPSK (M-ary相移键控)信号进行分类。与使用Tikhonov函数近似相位渐近分布的情况相比，具有1024个样本的新分类器提供了2db的改进。当误分类概率为0.01时，提高了2 dB。此外，可以通过增加观测间隔的长度来提高性能。

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Statistical moments based classifier for MPSK signals

The authors report a novel moments-based classifier to classify MPSK (M-ary phase shift keying) signals by using the moments of the phase utilizing the exact phase distribution. When compared with a case in which the Tikhonov function is used to approximate the asymptotic distribution of the phase, the new classifier with 1024 samples offered a 2 dB improvement. The 2 dB improvement is offered when the probability of misclassification is 0.01. Furthermore, improvement in performance can be obtained by increasing the length of the observation interval.<>

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IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record

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