An algorithm of digital modulation recognition based on instantaneous characteristic parameters

WEI Xiao-ji; XIE Hong; GUO Hui

doi:10.13873/j.1000-97872011.01.026

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An algorithm of digital modulation recognition based on instantaneous characteristic parameters

更新时间：2025-09-11

- An algorithm of digital modulation recognition based on instantaneous characteristic parameters
- Vol. 30, Issue 1, Pages: 127-130(2011)
- 作者机构：
  
  哈尔滨工程大学信息与通信工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.01.026
  CLC： TN911.3
- Published：2011
- 稿件说明：
移动端阅览
[1]位小记,谢红,郭慧.基于瞬时特征参数的数字调制识别算法[J].传感器与微系统,2011,30(01):127-130.

WEI Xiao-ji, XIE Hong, GUO Hui. An algorithm of digital modulation recognition based on instantaneous characteristic parameters[J]. 2011, 30(1): 127-130.
[1]位小记,谢红,郭慧.基于瞬时特征参数的数字调制识别算法[J].传感器与微系统,2011,30(01):127-130. DOI： 10.13873/j.1000-97872011.01.026.

WEI Xiao-ji, XIE Hong, GUO Hui. An algorithm of digital modulation recognition based on instantaneous characteristic parameters[J]. 2011, 30(1): 127-130. DOI： 10.13873/j.1000-97872011.01.026.

摘要

针对数字调制识别在低信噪比下的应用

提出一种基于瞬时特征参数的数字调制识别算法。该算法一方面利用5个相对简单的瞬时特征参数改善算法的复杂度

简化识别过程;另一方面

设计一种小波滤波器

对瞬时特征参数进行消噪处理

提高调制识别算法在低信噪比下的识别性能。同时

该算法只需在中频直接对信号进行识别

计算简单

易于实现。通过计算机仿真表明:在信噪比不低于5 dB的情况下

该算法对不同调制信号的正确识别率均达到90%以上。

Abstract

An algorithm of digital modulation recognition based on instantaneous characteristic parameters is proposed for the application under low signal-to-noise ratio（SNR）.On one hand

the algorithm uses five relatively simple instantaneous characteristic parameters

which can improve the complexity of the algorithm and simplify the recognition process.On the other hand

a wavelet filter is designed to denoise instantaneous characteristic parameters

which can improve modulation identification ability a under low SNR.In addition

the algorithm directly recognizes signals in medium frequency

which is easy to compute and realize.Experimental results show that the recognition sucess rate is over 90% for different modulation signal when SNR is not lower than 5dB.

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references

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对基于决策论的数字信号调制识别方法的改进 [J]. 张达敏,王旭. 计算机应用 . 2009(12)

基于累积量和SVM的数字调制识别 [J]. 王兰勋,任玉静. 通信技术 . 2009(11)

基于Donoho模型和高阶统计理论的小波消噪算法研究及其应用 [J]. 蒋云霄,杨俊安,钟子发,沈辉. 电路与系统学报 . 2007(01)

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基于星座图的数字调制方式识别 [J]. 王建新,宋辉. 通信学报 . 2004(06)

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