浏览全部资源
扫码关注微信
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
[ "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" ]
网络出版日期:2020-07,
纸质出版日期:2020-07-25
移动端阅览
司海飞, 胡兴柳, 史震, 等. 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, et al. Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction[J]. Journal on communications, 2020, 41(7): 172-185.
司海飞, 胡兴柳, 史震, 等. 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. DOI: 10.11959/j.issn.1000-436x.2020138.
Haifei SI, Xingliu HU, Zhen SHI, et al. Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction[J]. Journal on communications, 2020, 41(7): 172-185. DOI: 10.11959/j.issn.1000-436x.2020138.
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。
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.
KARRA K , KUZDEBA S , PETERSEN J . Modulation recognition using hierarchical deep neural networks [C ] // 2017 IEEE International Symposium on Dynamic Spectrum Access Networks . Piscataway:IEEE Press , 2017 : 1 - 3 .
DILLARD R A . Detectability of spread-spectrum signals [J ] . IEEE Transactions on Aerospace and Electronic Systems , 1979 , 15 ( 4 ): 526 - 537 .
KRASNER N F . Optimal detection of digitally modulated signals [J ] . IEEE Transactions on Communications , 1982 , 30 ( 5 ): 885 - 895 .
SHI W , FENG Q . New modulation recognition methods for OFDM based on spectral analysis [J ] . Piezoelectrics and Acoustooptics , 2015 , 37 ( 2 ): 297 - 300 .
JAISWAL S P , FANG L , JAKSETIYA V , et al . Adaptive multispectral demosaicking based on frequency-domain analysis of spectral correlation [J ] . IEEE Transactions on Image Processing , 2017 , 26 ( 2 ): 953 - 968 .
SUN X , KIM J Y , MIN S H , et al . A blind OFDM signal detection method based on cyclostationarity analysis [J ] . Wireless Personal Communications , 2015 , 94 ( 3 ): 1 - 21 .
KUMAR M , MAJHI S . Blind synchronization of OFDM system and CRLB derivation of CFO over fading channels [C ] // International Conference on Information . Piscataway:IEEE Press , 2015 : 1 - 6 .
朱宏伟 . OFDM 信号及子载波调制方式识别 [D ] . 银川:宁夏大学 , 2016 .
ZHU H W . Identification of OFDM signal and subcarrier modulation [D ] . Yinchuan:Ningxia University , 2016 .
SUN P F , ZHENG Z W , ZHAO X Y , et al . Research on modulation recognition algorithm based on instantaneous characteristic parameters [C ] // Proceedings of the 2012 International Conference on Electronics,Communications and Control . Piscataway:IEEE Press , 2012 : 2222 - 2225 .
ZHANG L , LI Q . Research on modulation recognition algorithm based on higher-order cumulant [J ] . Journal of Information Engineering University , 2017 , 18 ( 4 ): 403 - 408 .
GONG A M , WANG B H , QU Y , et al . Modulation type recognition of OFDM signals based on EMD [J ] . Applied Mechanics & Materials , 2014 , 721 : 670 - 673 .
RATHINAKUMAR S , RADUNOVIC B , MARINA M K . CPRecycle:recycling cyclic prefix for versatile interference mitigation in OFDM based wireless systems [C ] // International on Conference on Emerging Networking Experiments & Technologies . New York:ACM Press , 2016 : 67 - 81 .
吕新荣 , 李有明 , 余明宸 . OFDM系统的信道与脉冲噪声的联合估计方法 [J ] . 通信学报 , 2018 , 39 ( 3 ): 191 - 198 .
LYU X R , LI Y M , YU M C . Joint channel and impulsive noise estimation method for OFDM systems [J ] . Journal on Communications , 2018 , 39 ( 3 ): 191 - 198 .
凌青 , 张立民 , 闫文君 . 基于改进K-S检测的STBC-OFDM信号盲识别算法研究 [J ] . 通信学报 , 2017 , 38 ( 4 ): 46 - 54 .
LING Q , ZHANG L M , YAN W J . Blind recognition of STBC-OFDM signals based on modified K-S test [J ] . Journal on Communications , 2017 , 38 ( 4 ): 46 - 54 .
MICHAEL Y S M . Modern digital radio communication signals and systems [M ] . Berlin : SpringerPress , 2019 .
YU P D , PENG H , KONG K X , et al . Blind recognition of convolutional codes based on least-square cost-function [J ] . Acta Electronica Sinica , 2018 , 46 ( 7 ): 1545 - 1552 .
MIURA T . Radio terminal,radio communication system,and radio base station US 9615276 B2 [P ] . 2017 .
李君 . OFDM的关键技术及SystemView仿真实现 [J ] . 有线电视技术 , 2016 ( 10 ): 114 - 116 .
LI J . OFDM Technologies and SystemView simulation implementation [J ] . Cable TV Technology , 2016 ( 10 ): 114 - 116 .
KUCHUMOV A A , LIBEROVSKIY N , PRIPUTIN V S . Blind two real signals separation method based on third order cumulants [C ] // Systems of Signals Generating & Processing in the Field of on Board Communications . Piscataway:IEEE Press , 2019 : 1 - 4 .
SHI M , LAUFER A , BARNESS Y , et al . Fourth order cumulants in distinguishing single carrier from OFDM signals [C ] // 2008 IEEE Military Communications Conference . Piscataway:IEEE Press , 2009 : 1 - 6 .
魏瑾 . 复杂环境下基于高阶累积量的 OFDM 信号的盲识别 [J ] . 安阳师范学院学报 , 2017 ( 2 ): 65 - 68 .
WEI J . Blind recognition of OFDM signals based on high-order cumulants in complex environments [J ] . Journal of Anyang Normal University , 2017 ( 2 ): 65 - 68 .
BAGHAKI A , CHAMPAGNE B . Joint carrier frequency offset,sampling time offset and channel estimation in multiuser OFDM/OQAM systems [J ] . Journal on Advances in Signal Processing , 2018 , 2018 ( 1 ): 1 - 6 .
0
浏览量
1242
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构