WFRFT识别中高阶累积量与减法聚类级联设计

梁源; 向新; 王瑞; 刘坤; 尹立言; 王鹏

doi:10.15892/j.cnki.djzdxb.2021.06.007

弹箭与制导学报 >

2021 , Vol. 41 >Issue 6: 33 - 38

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.06.007

WFRFT识别中高阶累积量与减法聚类级联设计

梁源 ¹ ,
向新 ¹ ,
王瑞 ¹ ,
刘坤 ² ,
尹立言 ² ,
王鹏 ²

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¹ 空军工程大学航空工程学院,西安 710038
² 空军工程大学研究生院,西安 710051

梁源(1989—),男,湖南常德人,讲师,研究方向:变换域通信、信号处理、智能算法。

收稿日期: 2020-05-27

网络出版日期: 2025-02-07

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Combinatory Design of WFRFT Recognition Based on Higher Order Cumulants and Subtractive Cluster

LIANG Yuan ¹ ,
XIANG Xin ¹ ,
WANG Rui ¹ ,
LIU Kun ² ,
YIN Liyan ² ,
WANG Peng ²

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¹ Aeronautics Engineering College, Air Force Engineering University, Xi'an 710038,China
² Graduate School, Air Force Engineering University, Xi'an 710051, China

Received date: 2020-05-27

Online published: 2025-02-07

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摘要

为实现对基于加权分数阶傅里叶变换的混合载波信号的检测识别,提出一种基于高阶累积量与自适应减法聚类的联合调制识别算法。通过合理选择 $C 42$ 判决门限来实现对3类传统基带调制类型的初步识别与星座预映射;采用一种基于信道加性高斯白噪声的功率自适应减法聚类半径选取方法,推导出原始基带星座大小。仿真结果表明,基于 $C 42$ 优化理论可实现WFRFT调制阶数恢复及基带调制类型初步判决;所设计自适应半径聚类算法较传统固定半径设计具有更优异的基带星座大小识别性能。

关键词： 调制识别; 加权分数阶傅里叶变换; 高阶累积量; 自适应减法聚类; 基带星座

本文引用格式

梁源 , 向新 , 王瑞 , 刘坤 , 尹立言 , 王鹏 . WFRFT识别中高阶累积量与减法聚类级联设计[J]. 弹箭与制导学报, 2021 , 41(6) : 33 -38 . DOI: 10.15892/j.cnki.djzdxb.2021.06.007

Abstract

In order to detect and recognize the weighted-type fractional fourier transform (WFRFT)-based hybrid carrier signals, a combinatory modulation recognition method was provided based on higher order cumulants and adaptive subtractive cluster algorithm. First, as for the three traditional baseband modulations, the initial recognition and corresponding constellation mapping were implemented by properly selecting the thresholds for $C 42$ . Besides, the adaptive subtractive radius was decided on the additive Gaussian white noise’s power. Finally, by utilizing soft-decision subtractive cluster, the corresponding constellation size could be inferred for the baseband modulations. Simulation results showed that the WFRFT order can be well recovered and the baseband modulation types can also be decided initially based on $C 42$ ; the proposed adaptive-radius subtractive cluster can obtain better recognition performances with regards to baseband constellation’s size compared to the traditional fixed-radius design.

Key words： modulation recognition; weighted-type fractional Fourier transform; higher order cumulants; adaptive subtractive cluster algorithm; baseband constellation

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