单通道通信信号盲分离方法的研究进展综述

doi:10.11959/j.issn.1000-436x.2023138

Abstract

Abstract:

Significant progress has been made in the research of single channel blind signal separation (SCBSS) methods, as the theoretical and practical applications of SCBSS technology have been continuously improved.A new classification framework for blind signal separation (BSS) of communication signal problems was proposed based on an analysis of a large number of academic research results from both domestic and international sources.The division of SCBSS problems into four levels: multi-signal waveform separation, single-signal waveform separation, multi-signal symbol sequence separation, and single-signal symbol sequence separation was determined by taking into consideration the demand for output results of BSS systems in different application scenarios.Subsequently, the research status of SCBSS methods was systematically reviewed.Furthermore, the current research status of data-driven SCBSS was summarized, and the problems and solutions that needed to be addressed in data-driven SCBSS technology were explored.Finally, several potential research directions for SCBSS were analyzed and forecasted.The aim is to provide a reference for the research and application of SCBSS.

Key words: blind signal separation, single channel, signal processing, data-driven

CLC Number:

TN92

Wen DENG, Zhitao HUANG, Xiang WANG. Overview of research progress on blind separation methods for single channel communication signal[J]. Journal on Communications, 2023, 44(8): 179-194.

Figures/Tables 6

References 72

[1]	KALHAN A , KHALONA R , CHANG H ,et al. Systems and methods for blind source separation of wireless communication signals:US 2006/0045572 A1[P].2006-05-02.
[2]	丁冬冬 . 船舶自动识别系统同信道干扰抑制技术研究[D]. 南京:南京理工大学, 2014.
	DING D D . Research on Automatic Identification System of Ships and Co-Channel Interference Suppression Techniques[D]. Nanjing:Nanjing University of Science and Technology, 2014.
[3]	高英 . 卫星通信转发干扰分析及处理[C]// 第十届中国通信学会学术年会论文集. 北京:国防工业出版社, 2014: 45-49.
	GAO Y . Analysis and handling of satellite communication relay interference[C]// Proceedings of the 10th Annual Conference of the Chinese Institute of Communications.Beijing:National Defense Industry Press. 2014: 45-49.
[4]	DANKBERG M . Paired carrier multiple access (PCMA) for satellite communications[C]// Proceedings of the 17th AIAA International Communications Satellite Systems Conference and Exhibit. Reston:AIAA, 1998:1398.
[5]	张贤达, 保铮 . 盲信号分离[J]. 电子学报, 2001,29(S1): 1766-1771.
	ZHANG X D , BAO Z . Blind source separation[J]. Acta Electronica Sinica, 2001,29(S1): 1766-1771.
[6]	LECUN Y , BENGIO Y , HINTON G . Deep learning[J]. Nature, 2015,521(7553): 436-444.
[7]	GOODFELLOW I , BENGIO Y , COURVILLE A . Deep learning[M]. Massachusetts: The MIT Press, 2016.
[8]	GUIZZO E , WEYDE T , SCARDAPANE S ,et al. Learning speech emotion representations in the quaternion domain[J]. IEEE/ACM Transactions on Audio,Speech,and Language Processing, 2023,31: 1200-1212.
[9]	SISMAN B , YAMAGISHI J , KING S ,et al. An overview of voice conversion and its challenges:from statistical modeling to deep learning[J]. IEEE/ACM Transactions on Audio,Speech,and Language Processing, 2021,29: 132-157.
[10]	DELCROIX M , VáZQUEZ J B , OCHIAI T ,et al. SoundBeam:target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning[J]. IEEE/ACM Transactions on Audio,Speech and Language Processing, 2023,31: 121-136.
[11]	NIU S T , DU J , SUN L ,et al. QDM-SSD:quality-aware dynamic masking for separation-based speaker diarization[J]. IEEE/ACM Transactions on Audio,Speech,and Language Processing, 2023,31: 1037-1049.
[12]	MORIYA T , SATO H , OCHIAI T ,et al. Streaming end-to-end target-speaker automatic speech recognition and activity detection[J]. IEEE Access, 2023,11: 13906-13917.
[13]	LAURIOLA I , LAVELLI A , AIOLLI F . An introduction to deep learning in natural language processing:models,techniques,and tools[J]. Neurocomputing, 2022,470: 443-456.
[14]	QIN Z J , YE H , LI G Y ,et al. Deep learning in physical layer communications[J]. IEEE Wireless Communications, 2019,26(2): 93-99.
[15]	FARSAD N , GOLDSMITH A . Neural network detection of data sequences in communication systems[J]. IEEE Transactions on Signal Processing, 2018,66(21): 5663-5678.
[16]	XU J R , ZHOU Z , LI L J ,et al. RC-struct:a structure-based neural network approach for MIMO-OFDM detection[J]. IEEE Transactions on Wireless Communications, 2022,21(9): 7181-7193.
[17]	DENG W , WANG X , HUANG Z T ,et al. Modulation classifier:a few-shot learning semi-supervised method based on multimodal information and domain adversarial network[J]. IEEE Communications Letters, 2023,27(2): 576-580.
[18]	GHASEMZADEH P , HEMPEL M , WANG H G ,et al. GGCNN:an efficiency-maximizing gated graph convolutional neural network architecture for automatic modulation identification[J]. IEEE Transactions on Wireless Communications, 2023,doi.org/10.1109/TWC.2023.3239311.
[19]	SOLTANI M , POURAHMADI V , MIRZAEI A ,et al. Deep learning-based channel estimation[J]. IEEE Communications Letters, 2019,23(4): 652-655.
[20]	WU C L , LIU Z , WANG X ,et al. Single-channel blind source separation of co-frequency overlapped GMSK signals under constant-modulus constraints[J]. IEEE Communications Letters, 2016,20(3): 486-489.
[21]	MA H G , JIANG Q B , LIU Z Q ,et al. A novel blind source separation method for single-channel signal[J]. Signal Processing, 2010,90(12): 3232-3241.
[22]	PANG L H , TANG B . Single channel blind signal separation of time-frequency overlapped signals based on independent component analysis[C]// Proceedings of International Conference on Communications,Circuits and Systems. Piscataway:IEEE Press, 2014: 147-151.
[23]	WANG X B , WANG Y . A single-channel BSS new method of time-frequency overlapped communication signal based on multi-scale CWT and ICA[C]// Proceedings of 2013 International Conference on Computational Problem-Solving. Piscataway:IEEE Press, 2014: 241-244.
[24]	DEY P , TRIVEDI N , SATIJA U ,et al. Single channel blind source separation for MISO communication systems[C]// Proceedings of 2017 IEEE 86th Vehicular Technology Conference. Piscataway:IEEE Press, 2018: 1-5.
[25]	付卫红, 周雨菲, 赵文胜 . 面向能量差异混合信号的单通道盲源分离算法[J]. 系统工程与电子技术, 2023,PP(99): 1-12.
	FU W H , ZHOU Y F , ZHAO W S . Single-channel blind source separation algorithm for energy differential mixed signals[J]. Systems Engineering and Electronics, 2023,PP(99): 1-12.
[26]	CAI X , WANG X , HUANG Z T ,et al. Single-channel blind source separation of communication signals using pseudo-MIMO observations[J]. IEEE Communications Letters, 2018,22(8): 1616-1619.
[27]	蔡权伟, 魏平, 肖先赐 . 基于模型拟合的重叠信号盲分离方法[J]. 电子学报, 2005,33(10): 1794-1798.
	CAI Q W , WEI P , XIAO X C . Blind signal separation of overlapped signals based on model fitting[J]. Acta Electronica Sinica, 2005,33(10): 1794-1798.
[28]	蔡权伟, 魏平, 肖先赐 . 基于能量算子的单信道重叠信号盲分离方法[J]. 中国科学, 2008,38(4): 607-619.
	CAI Q W , WEI P , XIAO X C . Research on Signal Component Separation Techniques for Multi-Component Signals[J]. Scientia Sinica, 2008,38(4): 607-619.
[29]	蔡权伟 . 多分量信号的信号分量分离技术研究[D]. 成都:电子科技大学, 2005.
	CAI Q W . Research on separation of signal components of multicomponent signal[D]. Chengdu:University of Electronic Science and Technology of China, 2005.
[30]	LIU X B , GUAN Y L . Single-channel blind separation of unsynchronized multiuser PSK signals with non-identical sampling frequency offsets[J]. IEEE Communications Letters, 2022,26(11): 2774-2778.
[31]	ARSLAN H , MOLNAR K . Co-channel interference cancellation with successive cancellation in narrowband TDMA systems[C]// Proceedings of 2000 IEEE Wireless Communications and Networking Conference. Piscataway:IEEE Press, 2002: 1070-1074.
[32]	HOPGOOD J R , RAYNER P J W . Single channel nonstationary stochastic signal separation using linear time-varying filters[J]. IEEE Transactions on Signal Processing, 2003,51(7): 1739-1752.
[33]	GARDNER W A . Cyclic Wiener filtering:theory and method[J]. IEEE Transactions on Communications, 1993,41(1): 151-163.
[34]	ZHANG J , WONG K M , LUO Z Q ,et al. Blind adaptive FRESH filtering for signal extraction[J]. IEEE Transactions on Signal Processing, 1999,47(5): 1397-1402.
[35]	HEIDARI S , NIKIAS C L . Co-channel interference mitigation in the time-scale domain:the CIMTS algorithm[J]. IEEE Transactions on Signal Processing, 1996,44(9): 2151-2162.
[36]	STANKOVI? L , OROVI? I , STANKOVI? S ,et al. Compressive sensing based separation of nonstationary and stationary signals overlapping in time-frequency[J]. IEEE Transactions on Signal Processing, 2013,61(18): 4562-4572.
[37]	XU T , WANG W , DAI W . Sparse coding with adaptive dictionary learning for under determined blind speech separation[J]. Speech Communication, 2013,55(3): 432-450.
[38]	JAO P K , YANG Y H , WOHLBERG B . Informed monaural source separation of music based on convolutional sparse coding[C]// Proceedings of 2015 IEEE International Conference on Acoustics,Speech and Signal Processing. Piscataway:IEEE Press, 2015: 236-240.
[39]	JAO P K , SU L , YANG Y H ,et al. Monaural music source separation using convolutional sparse coding[J]. IEEE/ACM Transactions on Audio,Speech,and Language Processing, 2016,24(11): 2158-2170.
[40]	AHARON M , ELAD M , BRUCKSTEIN A . K-SVD:an algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 2006,54(11): 4311-4322.
[41]	JAFARI M G , PLUMBLEY M D . Fast dictionary learning for sparse representations of speech signals[J]. IEEE Journal of Selected Topics in Signal Processing, 2011,5(5): 1025-1031.
[42]	DAI W , XU T , WANG W W . Simultaneous codeword optimization (SimCO) for dictionary update and learning[J]. IEEE Transactions on Signal Processing, 2012,60(12): 6340-6353.
[43]	HUANG Z T , CAI X . Interference mitigation via sparse coding in K-user interference channels[J]. IEEE Wireless Communications Letters, 2019,8(6): 1596-1599.
[44]	CAI X , HUANG Z T , LI B G . Asynchronous and non-stationary interference cancellation in multiuser interference channels[J]. IEEE Transactions on Wireless Communications, 2021,20(8): 4976-4989.
[45]	胡士强, 敬忠良 . 粒子滤波算法综述[J]. 控制与决策, 2005,20(4): 361-365,371.
	HU S Q , JING Z L . Overview of particle filter algorithm[J]. Control and Decision, 2005,20(4): 361-365,371.
[46]	DOUCET A , FREITAS N , GORDON N . An introduction to sequential Monte Carlo methods[M]. Berlin: Springer, 2001.
[47]	LIU K . Single channel blind signal separation of cofrequency MPSK signals[J]. Journal of Information and Computation Science, 2005,2(2): 283-287.
[48]	TU S L , CHEN S H , ZHENG H ,et al. Particle filtering based single-channel blind separation of co-frequency MPSK signals[C]// Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems. Piscataway:IEEE Press, 2008: 582-585.
[49]	涂世龙, 郑辉 . 同频不同速率数字调制混合信号的单通道盲分离[J]. 电路与系统学报, 2010,15(3): 43-47,42.
	TU S L , ZHENG H . Single-channel blind separation of digital modulated signals with close carriers and different data rates[J]. Journal of Circuits and Systems, 2010,15(3): 43-47,42.
[50]	LU W , ZHANG B N , LU X P . Single-channel blind separation of MPSK and LFM interference using genetic particle filtering[C]// Proceedings of IEEE Third International Conference on Information Science and Technology. Piscataway:IEEE Press, 2014: 1460-1464.
[51]	LU W , ZHANG B N . Single channel time-varying amplitude LFM interference blind separation using MHMPSO particle filtering[C]// Proceedings of IEEE International Conference on Signal and Image Processing Applications. Piscataway:IEEE Press, 2014: 425-430.
[52]	LU W , ZHANG B N , LU X P . Single channel time-varying amplitude LFM interference blind separation based on improved particle filter[C]// Proceedings of the Sixth International Conference on Advanced Computational Intelligence. Piscataway:IEEE Press, 2014: 70-74.
[53]	TU S L , ZHENG H , GU N . Single-channel blind separation of two QPSK signals using per-survivor processing[C]// Proceedings of IEEE Asia Pacific Conference on Circuits and Systems. Piscataway:IEEE Press, 2009: 473-476.
[54]	熊涛, 崔鹏辉, 江桦 ,等. 应用判决反馈的混合信号单通道盲分离算法[J]. 信号处理, 2014,30(12): 1523-1529.
	XIONG T , CUI P H , JIANG H ,et al. Single channel blind separation of mixed signals applying decision feedback[J]. Journal of Signal Processing, 2014,30(12): 1523-1529.
[55]	LIU X B , GUAN Y L , KOH S N . Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE[C]// Proceedings of IEEE Military Communications Conference. Piscataway:IEEE Press, 2015: 1509-1514.
[56]	LIU X B , GUAN Y L , KOH S N ,et al. Single-channel blind separation of co-frequency PSK signals with unknown carrier frequency offsets[C]// Proceedings of IEEE Military Communications Conference. Piscataway:IEEE Press, 2017: 641-646.
[57]	BRANDT-PEARCE M . Signal separation using fractional sampling in multiuser communications[J]. IEEE Transactions on Communications, 2000,48(2): 242-251.
[58]	SZU H , CHANYAGORN P , KOPRIVA I . Sparse coding blind source separation through Powerline[J]. Neurocomputing, 2002,48(1-4): 1015-1020.
[59]	ROSTAMI M , BABAIE-ZADEH M , SAMADI S ,et al. Blind source separation of discrete finite alphabet sources using a single mixture[C]// Proceedings of IEEE Statistical Signal Processing Workshop. Piscataway:IEEE Press, 2011: 709-712.
[60]	LEA C , VIDAL R , REITER A ,et al. Temporal convolutional networks:a unified approach to action segmentation[C]// Proceedings of European Conference on Computer Vision. Berlin:Springer, 2016: 47-54.
[61]	HOCHREITER S , SCHMIDHUBER J . Long short-term memory[J]. Neural Computation, 1997,9(8): 1735-1780.
[62]	ASHISH V , NOAM S , NIKI P ,et al. Attention is all you need[C]// Proceedings of Advances in Neural Information Processing Systems. Massachusetts:MIT Press, 2017: 5998-6008.
[63]	赵孟晨 . 基于深度学习的空间混叠信号单通道盲源分离技术研究[D]. 北京:中国科学院大学, 2021.
	ZHAO M C . Single channel blind source separation of spatial aliasing signal based on deep learning[D]. Beijing:University of Chinese Academy of Sciences, 2021.
[64]	LUO Y , MESGARANI N . Conv-TasNet:surpassing ideal time-frequency magnitude masking for speech separation[J]. IEEE/ACM Transactions on Audio,Speech,and Language Processing, 2019,27(8): 1256-1266.
[65]	LUO Y , CHEN Z , YOSHIOKA T . Dual-path RNN:efficient long sequence modeling for time-domain single-channel speech separation[C]// Proceedings of 2020 IEEE International Conference on Acoustics,Speech and Signal Processing. Piscataway:IEEE Press, 2020: 46-50.
[66]	赵孟晨, 姚秀娟, 王静 ,等. 基于 Stacked-TCN 的空间混叠信号单通道盲源分离方法[J]. 系统工程与电子技术, 2021,43(9): 2628-2636.
[73]	CHEN C , LU Z F , GUO Z ,et al. Deep learning based single-channel blind separation of co-frequency modulated signals[C]// Proceedings of International Conference on Communications and Networking in China. Berlin:Springer, 2020: 607-618.
[74]	蔡昕 . 单通道时频混叠数字通信信号盲分离方法研究[D]. 长沙:国防科技大学, 2021.
	CAI X . Researches on blind separation of single channel time-frequency overlapped digital communication signals[D]. Changsha:National University of Defense Technology, 2021.
[75]	DENG W , CAI X , WANG X ,et al. Signal demodulator based on in-phase and quadrature interference-robust feature[J]. Electronics Letters, 2023,59(1): e12686.
[76]	郭一鸣, 彭华, 杨勇 . 基于前馈神经网络的非合作PCMA信号盲分离算法[J]. 电子学报, 2019,47(2): 302-307.
	GUO Y M , PENG H , YANG Y . Blind separation algorithm for non-cooperative PCMA signal based on feedforward neural network[J]. Acta Electronica Sinica, 2019,47(2): 302-307.
[77]	陈宸 . 基于深度学习的同频混合信号单通道盲分离研究[D]. 上海:上海交通大学, 2020.
	CHEN C . Research on deep learning-based single-channel blind separation of co-frequency modulated signals[D]. Shanghai:Shanghai Jiao Tong University, 2020.
[66]	ZHAO M C , YAO X J , WANG J ,et al. Single-channel blind source separation method of spatial aliasing signal based on Stacked-TCN[J]. Systems Engineering and Electronics, 2021,43(9): 2628-2636.
[67]	ZHAO M C , YAO X J , WANG J ,et al. Single-channel blind source separation of spatial aliasing signal based on stacked-LSTM[J]. Sensors, 2021,21(14): 4844.
[68]	HOU X Q , GAO Y . Single-channel blind separation of co-frequency signals based on convolutional network[J]. Digital Signal Processing, 2022,129:103654.
[69]	LUO W L , YANG R J , JIN H B ,et al. Single channel blind source separation of complex signals based on spatial-temporal fusion deep learning[J]. IET Radar,Sonar ＆ Navigation, 2023,17(2): 200-211.
[70]	MA H , ZHENG X , YU L ,et al. A novel end-to-end deep separation network based on attention mechanism for single channel blind separation in wireless communication[J]. IET Signal Processing, 2023,17(2): e12173.
[71]	LIN X M , LIU R F , HU W M ,et al. A deep convolutional network demodulator for mixed signals with different modulation types[C]// Proceedings of the 15th International Conference on Dependable,Autonomic and Secure Computing,15th International Conference on Pervasive Intelligence and Computing,3rd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress. Piscataway:IEEE Press, 2018: 893-896.
[72]	WEI C , PENG H , QIU Z . Blind separation of PCMA signals based on neural network[C]// Proceedings of MATEC Web of Conferences.[S.l.:s.n.], 2018:03045.

Metrics

Recommended 0

No Suggested Reading articles found!

评价角度	指标
波形恢复质量	相关系数
	性能指标
	均方误差
	信干噪比
信息传递精度	解调误符号率
	解调误比特率

Overview of research progress on blind separation methods for single channel communication signal

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 72

Related Articles 15

Metrics

Recommended 0

[1]	Zhen YANG, Tianlang WANG, Haiyan GUO, Tingting WANG. Speaker verification method based on cross-domain attentive feature fusion [J]. Journal on Communications, 2023, 44(8): 89-98.
[2]	Yun LIN, Huaitao XU, Sen WANG, Sicheng ZHANG, Long ZHUANG. Objective assessment of communication speech interference effect based on feature fusion [J]. Journal on Communications, 2023, 44(3): 105-116.
[3]	Feng ZHOU, Baosheng ZHANG, Wenbo ZHANG. Space-time division cluster DoA estimation algorithm based on UWA spread spectrum signal [J]. Journal on Communications, 2022, 43(8): 100-108.
[4]	Xianbin YU, Zhidong LYU, Lianyi LI, Muhammad Idrees Nazar, Lu ZHANG. Waveform design and signal processing for terahertz integrated sensing and communication [J]. Journal on Communications, 2022, 43(2): 76-88.
[5]	Jun LIU, Jian WANG. Research progress of optical signal processing with orbital angular momentum [J]. Journal on Communications, 2021, 42(11): 217-232.
[6]	Zhe CHEN,Yuqi HU,Shiqing TIAN,Huimin LU,Lizhong XU. Non-stationary signal combined analysis based fault diagnosis method [J]. Journal on Communications, 2020, 41(5): 187-195.
[7]	Wei WANG,Ming ZHANG,Bobin YAO,Qinye YIN,Pengcheng MU. Computationally efficient direction-of-arrival estimation of non-circular signal based on subspace rotation technique [J]. Journal on Communications, 2020, 41(11): 198-205.
[8]	Xian ZHOU,Tianyu GAO,Jiahao HUO,Xiaojie SHEN,Dongxu LU,Wei HUANGFU,Jiajing TU,Keping LONG. Research on IQ imbalance estimation algorithm based on GSOP [J]. Journal on Communications, 2018, 39(9): 129-134.
[9]	Wang-han LYU,Hua-li WANG,Shan-xiang MU,Feng LIU. Joint frequency and DOA estimation using spatial-temporal co-prime sampling with off-grid sources [J]. Journal on Communications, 2017, 38(2): 125-131.
[10]	Wei WANG,Qin-ye YIN,Peng-cheng MU. Inter-carrier interference cancellation using spatial characteristics for high-mobility OFDM communication systems [J]. Journal on Communications, 2015, 36(8): 76-82.
[11]	Lei CHEN,Li-yi ZHANG,Yan-ju GUO,Yong HUANG,Jing-yi LIANG. Blind signal separation algorithm based on temporal predictability and differential search algorithm [J]. Journal on Communications, 2014, 35(6): 117-125.
[12]	. Blind signal separation algorithm based on temporal predictability and differential search algorithm [J]. Journal on Communications, 2014, 35(6): 15-125.
[13]	Wen-biao TIAN,Zheng FU,Guo-sheng RUI. Blind adaptive matching pursuit algorithm for signal reconstruction based on sparsity trial and error [J]. Journal on Communications, 2013, 34(4): 180-186.
[14]	. Blind adaptive matching pursuit algorithm for signal reconstruction based on sparsity trial and error [J]. Journal on Communications, 2013, 34(4): 22-186.
[15]	Yao-du WEI,Xiang XIE,Jing-ming KUANG,Xin-lu HAN. Novel full reference perceptual quality metric for audio-visual asynchrony [J]. Journal on Communications, 2012, 33(2): 182-190.