基于联合特征参数提取的非合作信号调制识别算法

doi:10.11959/j.issn.1000-436x.2020138

通信学报 ›› 2020, Vol. 41 ›› Issue (7): 172-185.doi: 10.11959/j.issn.1000-436x.2020138

基于联合特征参数提取的非合作信号调制识别算法

司海飞^1,²,胡兴柳¹(),史震²,李仕勇³

¹ 金陵科技学院智能科学与控制工程学院，江苏南京 211169
² 哈尔滨工程大学自动化学院，黑龙江哈尔滨 150001
³ 哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨150001

修回日期:2020-04-27 出版日期:2020-07-25 发布日期:2020-08-01
作者简介:司海飞（1978- ），男，江苏阜宁人，金陵科技学院副教授、高级工程师，哈尔滨工程大学博士生，主要研究方向为模式识别与智能系统、计算机应用技术|胡兴柳（1974- ），女，安徽郎溪人，博士，金陵科技学院教授、硕士生导师，主要研究方向为光纤传感技术与智能控制|史震（1961- ），男，黑龙江哈尔滨人，博士，哈尔滨工程大学教授、博士生导师，主要研究方向为导航、制导与控制技术|李仕勇（1998- ），男，重庆市开州人，哈尔滨工程大学硕士生，主要研究方向为智能无线电、认知电子战
基金资助:
江苏省自然科学基金资助项目(BK20171114);国家自然科学基金资助项目(61873002);江苏高校“青蓝工程”中青年学术带头人基金资助项目;金陵科技学院人才引进基金资助项目(Jit-rcyj-201604)

Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction

Haifei SI^1,²,Xingliu HU¹(),Zhen SHI²,Shiyong LI³

¹ College of Intelligent Science and Control Engineering,Jinling Institute of Technology,Nanjing 211169,China
² College of Automation,Harbin Engineering University,Harbin 150001,China
³ College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China

Revised:2020-04-27 Online:2020-07-25 Published:2020-08-01
Supported by:
The Natural Science Foundation of Jiangsu Province(BK20171114);The National Natural Science Foundation of China(61873002);The Qing Lan Project;The Jinling Institute of Technology’s Talent Introduction Project(Jit-rcyj-201604)

摘要/Abstract

摘要：

针对当前电磁环境中调制方式复杂，用频设备增多，频谱拥塞且电磁环境干扰增加的情况，研究了以非合作通信为背景的OFDM信号检测与子载波识别算法。利用OFDM信号与单载波信号在时域上的不同分布状态提出一种利用联合特征参数解决接收信号中OFDM的存在性问题；针对信道传输给信号带来的相移和频偏问题，根据周期平稳性进行参数盲估计得到信号先验信息；在已获取信号先验信息的基础上，提出一种非合作OFDM信号子载波信号多层级分类识别的方法。由此设计了基于非合作通信系统 OFDM 信号检测与子载波调制识别的模型，最后完成了未知信号的调制识别。仿真实验表明，在非合作通信系统中能准确识别 OFDM 信号与单载波信号，能对接收方OFDM信号子载波中的空子载波、QPSK和16QAM达到理想的调制识别效果，克服了信道传输带来的相移和频偏问题，提高了调制方式识别的准确率。

关键词: 非合作通信, 参数盲估计, 高阶累积量, 特征参数提取

Abstract:

Aiming at the problem that in the current electromagnetic environment,the modulation method is complicated,the frequency-consuming equipment increases,the spectrum is congested,and the electromagnetic environment interference increases,the algorithm of OFDM signal detection and subcarrier identification in the background of non-cooperative communication were deeply studied.Using the different distribution states of OFDM signals and single carrier signals in the time domain,a joint characteristic parameter was proposed to solve the existence problem of OFDM in the received signal.For the phase shift and frequency offset problems caused by the channel transmission to the signal,by using the periodic stability the blind parameter estimation was performed to obtain the signal prior information.On the basis of the obtained signal prior information,a multi-level classification and recognition method for non-cooperative OFDM signal sub-carrier signals was proposed.Therefore,a model based on non-cooperative communication system OFDM signal detection and subcarrier modulation identification was designed,and finally modulation identification of unknown signals was completed.Simulation experiments show that in non-cooperative communication systems,OFDM signals and single-carrier signals can be accurately identified,and ideal modulation recognition effects can be achieved on empty subcarriers,QPSK,and 16QAM in the receiver OFDM signal subcarriers,overcoming the channel transmission band The problems of phase shift and frequency offset have improved the accuracy of modulation mode identification.

Key words: non-cooperative communication, blind parameter estimation, higher-order cumulant

中图分类号:

TN911，TP391

司海飞,胡兴柳,史震,李仕勇. 基于联合特征参数提取的非合作信号调制识别算法[J]. 通信学报, 2020, 41(7): 172-185.

Haifei SI,Xingliu HU,Zhen SHI,Shiyong LI. Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction[J]. Journal on Communications, 2020, 41(7): 172-185.

图/表 27

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图8

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图10

图11

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图14

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表1

表2

表3

各种单载波信号 | C ˜ 42 | 的理论值"

调制方式	${\tilde{C}}_{42}$
OFDM	0
QPSK	-1
16QAM	-0.68
64QAM	-0.619

表3

图17

图18

图19

图20

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基于联合特征参数提取的非合作信号调制识别算法

Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction

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调制方式	C₂₀
空子载波	0
QPSK	1
16QAM	0.68