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Unsupervised Characterization of Digital Modulations

机译:数字调制的无监督表征

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摘要

With the rising number of modulation types used in multi-user communication systems, we need to find efficient methods to discriminate them. Indeed, modulation recognition has become important in wireless communications for both civilian and military applications. Traditionnally, to classify modulation types, most studies assume abundant apriori knowledge about modulated signals such as binary data rate, baud rate or carrier frequency. However, new transmission receiver systems need to classify automatically digital modulations without specific information. In the course of making decision on modulation type, these parameters may have to be estimated in order to perform efficient demodulation. In this paper, we propose a new way of estimating baud rate of digital modulated signals and then some perspectives to estimate the binary data rate. This approach is based on abrupt changes detection in time-frequency plane.
机译:随着多用户通信系统中使用的调制类型数量的增加,我们需要找到有效的方法来区分它们。实际上,调制识别在民用和军用无线通信中已经变得很重要。传统上,为了对调制类型进行分类,大多数研究都假定对调制信号有丰富的先验知识,例如二进制数据速率,波特率或载波频率。但是,新的传输接收器系统需要在没有特定信息的情况下自动对数字调制进行分类。在决定调制类型的过程中,可能必须估算这些参数才能执行有效的解调。在本文中,我们提出了一种估计数字调制信号波特率的新方法,然后提出了一些估计二进制数据率的方法。该方法基于时频平面中的突变检测。

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