Automatic modulation recognition algorithm for MQAM signal

Huadi ZHANG; Huaxun LOU

doi:10.11959/j.issn.1000-436x.2019168

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Automatic modulation recognition algorithm for MQAM signal

Correspondences | 更新时间：2024-06-05

- Automatic modulation recognition algorithm for MQAM signal
- Journal on Communications Vol. 40, Issue 8, Pages: 200-211(2019)
- 作者机构：
  
  1. 中国电子科技集团公司第三十六研究所，浙江嘉兴 314033
  2. 通信信息控制和安全技术重点实验室，浙江嘉兴 314033
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2019168
  CLC： TN911
- Online First：2019-08，
  
  Published：25 August 2019
- 稿件说明：
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Huadi ZHANG, Huaxun LOU. Automatic modulation recognition algorithm for MQAM signal[J]. Journal on Communications, 2019, 40(8): 200-211.
DOI：

Huadi ZHANG, Huaxun LOU. Automatic modulation recognition algorithm for MQAM signal[J]. Journal on Communications, 2019, 40(8): 200-211. DOI： 10.11959/j.issn.1000-436x.2019168.

摘要

提出了一种实现MQAM信号调制方式自动识别的方法。首先通过四阶累积量构造特征参数F，实现方形QAM和十字形QAM的识别，通过计算零中心归一化瞬时幅度紧致性，把16QAM从方形QAM中识别出来。然后，通过信号包络平方的频谱估算出波特率，结合定时同步，消除ISI码间干扰，恢复出较理想的星座图。接着，针对32QAM和128QAM设置不同的聚类半径，用减法聚类算法求出聚类点及其密度值，通过计算不同半径下的聚类点密度值的差异进行类型判断，同理，进行64QAM和256QAM信号的分类。所提方法不需要载频和波特率等先验信息，能完成16QAM、32QAM、64QAM、128QAM、256QAM信号的自动识别，并且没有复杂的迭代过程，可以应用于实际信号的调制识别。

Abstract

An automatic modulation recognition algorithm for MQAM signal was proposed.Firstly

the feature parameter F based on the fourth order cumulants was constructed to classify the square QAM and the cross QAM.Secondly

the compactness of zero center normalized instantaneous amplitude was calculated to identify the 16QAM from the square QAM.Thirdly

the baud rate was estimated by frequency spectrum of amplitude square

and timing was synchronized to delete the ISI and resume the relatively ideal constellations.And aiming at the 32QAM and the 128QAM

two different clustering radii were set

and clustering point density was got respectively by the subtractive clustering algorithm

and then the 32QAM and the 128QAM was classified depending on the difference of density value.In the same way

the 64QAM and the 256QAM were classified.The proposed algorithm can recognize five kinds of QAM signals，including 16QAM signals

32QAM signals

64QAM signals

128QAM signal and 256QAM signal without prior knowledge of frequency and baud rate.Furthermore

the proposed algorithm does not need complex iterative process

which can be applied in practical signal recognition.

关键词

Keywords

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