Method of individual communication transmitter identification based on maximum correntropy

Zhe TANG; Ying-ke LEI

doi:10.11959/j.issn.1000-436x.2016283

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Method of individual communication transmitter identification based on maximum correntropy

Academic communication | 更新时间：2024-06-05

- Method of individual communication transmitter identification based on maximum correntropy
- Journal on Communications Vol. 37, Issue 12, Pages: 171-175(2016)
- 作者机构：
  
  电子工程学院，安徽合肥 230037
- 作者简介：
- 基金信息：
  
  National Defense Science and Technology Key Laboratory Fund Project(9140C130502140C13068);Preliminary Assembling Project Fund(9140A33030114JB39470);The National Natural Science Foundation of China(61272333)
- DOI：10.11959/j.issn.1000-436x.2016283
  CLC： TN911.7
- Online First：2016-12，
  
  Published：25 December 2016
- 稿件说明：
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Zhe TANG, Ying-ke LEI. Method of individual communication transmitter identification based on maximum correntropy[J]. Journal on Communications, 2016, 37(12): 171-175.
DOI：

Zhe TANG, Ying-ke LEI. Method of individual communication transmitter identification based on maximum correntropy[J]. Journal on Communications, 2016, 37(12): 171-175. DOI： 10.11959/j.issn.1000-436x.2016283.

摘要

采用相关熵度量辐射源细微特征之间的相似性，提出一种基于最大相关熵的通信辐射源个体识别方法。首先提取矩形积分双谱特征来表征辐射源个体差异，并基于最大相关熵准则构造优化函数；其次利用半二次优化技术，将非线性的优化问题转化为加权线性最小二乘问题；最后利用有效集算法得到稀疏系数构造分类器，实现通信辐射源的个体识别。在实际采集的同厂家同型号的FM电台数据集上，验证了方法的可行性与有效性。

Abstract

To measure the similarity between the fine features of communication transmitters

a method of individual communication transmitter identification based on maximum correntropy was put forward. Firstly

the square integral bispectra was extracted to characterise the communication transmitters

and then optimization function based on maximum correntropy criterion was constructed. Secondly

the half-quadratic technique transformed the nonlinear op-timization problem to a weighted linear least squares problem. Finally

for identifying the communication transmitters

the sparse coefficient computed by active set algorithm was utilized to construct the classifier. Using the FM radios with same manufacturer and model

the actually collected data sets verified the feasibility and effectiveness of the method.

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Keywords

references

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