基于JADE与特征提取的正交/非正交空时分组码盲识别

doi:10.3969/j.issn.1001-506X.2020.04.26

Abstract

Abstract:

Aiming at the blind recognition of orthogonal space-time block codes (OSTBC) and non-orthogonal space-time block codes (NOSTBC) in non-cooperative multiple input multiple output communication systems, a blind recognition method combining joint approximate diagonalization of eigenvalue matrix (JADE) and feature extraction is proposed. Firstly, the received signal is transformed into a linear instantaneous hybrid model in blind source separation problem. Then the virtual channel matrix of the model is estimated by the JADE algorithm. According to the characteristic that the correlation matrix of the channel matrix is a quantitative matrix, the characteristic parameters are extracted from the correlation matrix, and the characteristic parameters are used to identify OSTBC and NOSTBC. The simulation results show that the proposed method can effectively recognize OSTBC and NOSTBC under low signal-to-noise ratio (SNR) and different modulation modes.

Key words: orthogonal space-time block code (OSTBC), non-orthogonal space-time block code (NOSTBC), joint approximate diagonalization of eigenvalue matrix (JADE), feature extraction, blind recognition

CLC Number:

TN911.7

Tianqi ZHANG, Congcong FAN, Shengqi YU, Jiangen ZHAO. Blind recognition of orthogonal and non-orthogonal space-time block codes based on JADE and feature extraction[J]. Systems Engineering and Electronics, 2020, 42(4): 933-939.

Figures/Tables 6

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

References 23

1	林云. MIMO技术原理及应用[M]. 北京: 人民邮电出版社, 2010.
	LIN Y . Principles and applications of MIMO technology[M]. Beijing: Posts and Telecommunications Press, 2010.
2	ELDEMERDASH Y A , DOBRE O A , ONER M . Signal identification for multiple-antenna wireless systems: achievements and challenges[J]. IEEE Communications Surveys & Tutorials, 2016, 18 (3): 1524- 1551.
3	LEIB H , LIN W . Performance analysis of multi-input multi-output systems with maximum likelihood detection over shadowed fading channels[J]. International Journal of Communication Systems, 2015, 28 (4): 779- 800. doi: 10.1002/dac.2719
4	HEATH R W , GONZALEZ P N , RANGAN S , et al. An overview of signal processing techniques for millimeter wave MIMO systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2016, 10 (3): 436- 453. doi: 10.1109/JSTSP.2016.2523924
5	DIBYAJYOTI D , KUMAR B P , RATNAJIT B . Blind modulation recognition of the lower order PSK signals under the MIMO keyhole channel[J]. IEEE Communications Letters, 2018, 22 (9): 1834- 1837. doi: 10.1109/LCOMM.2018.2853638
6	KHOSRAVIANI M, KALBKHANI H, SHAYESTEH M G. Digital modulation recognition in MIMO systems based on segmentation of received data[C]//Proc.of the Iranian Conference on Electrical Engineering, 2017: 1998-2002.
7	LIU X K , ZHAO C L , WANG P B , et al. Blind modulation classification algorithm based on machine learning for spatially correlated MIMO system[J]. IET Communications, 2016, 11 (7): 1000- 1007.
8	WEI M C, WEI Z X, YANG J Y, et al. Automatic modulation recognition of digital signal based on auto-encoding network in MIMO system[C]//Proc.of the IEEE 18th International Conference on Communication Technology, 2018: 1017-1021.
9	李浩, 彭华, 于沛东. 空时分组码参数分析[J]. 电子学报, 2017, 45 (7): 1559- 1566. doi: 10.3969/j.issn.0372-2112.2017.07.003
	LI H , PENG H , YU P D . Parameter analysis of space-time block code[J]. Acta Electronica Sinica, 2017, 45 (7): 1559- 1566. doi: 10.3969/j.issn.0372-2112.2017.07.003
10	李浩, 彭华. 一种改进的空时分组码参数识别算法[J]. 信息工程大学学报, 2016, 17 (4): 454- 458. doi: 10.3969/j.issn.1671-0673.2016.04.014
	LI H , PENG H . Improved block space code parameter recognition algorithm[J]. Journal of Information Engineering University, 2016, 17 (4): 454- 458. doi: 10.3969/j.issn.1671-0673.2016.04.014
11	CHOQUEUSE V , MATAZIN M , COLLIN L , et al. Blind recognition of linear space-time block codes: a likelihood-based approach[J]. IEEE Trans.on Signal Processing, 2010, 58 (3): 1290- 1299. doi: 10.1109/TSP.2009.2036062
12	LING Q , ZHANG L M , YAN W J , et al. Hierarchical space-time block codes signals classification using higher order cumulants[J]. Chinese Journal of Aeronautics, 2016, 29 (3): 754- 762. doi: 10.1016/j.cja.2016.04.006
13	闫文君, 张立民, 凌青, 等. 基于高阶统计特征的空时分组码盲识别方法[J]. 电子与信息学报, 2016, 38 (3): 668- 673.
	YAN W J , ZHANG L M , LING Q , et al. An algorithm for blind classification of space-time block code based on higher-order statistics[J]. Journal of Electronics & Information Technology, 2016, 38 (3): 668- 673.
14	BUIQUANG C , ZHANG T Q . Blind recognition of space time block code in MIMO systems[J]. Digital Signal Processing, 2018, 8 (11): 83- 90.
15	黄波, 潘爽, 李雪. 基于四阶循环平稳的STBC-OFDM信号盲识别[J]. 信号处理, 2017, 33 (9): 1221- 1229.
	HUANG B , PAN S , LI X . Blind classification of STBC-OFDM signals based on fourth-order cyclostationarity[J]. Journal of Signal Processing, 2017, 33 (9): 1221- 1229.
16	赵知劲, 陈林, 王海泉, 等. 基于独立分量分析的实正交空时分组码盲识别[J]. 通信学报, 2012, 33 (11): 1- 7.
	ZHAO Z J , CHEN L , WANG H Q , et al. Blind recognition of real orthogonal STBC based on independent component analysis[J]. Journal on Communications, 2012, 33 (11): 1- 7.
17	CHUNG B Q , ZHANG T Q . Blind recognition of real orthogonal STBC underdetermined systems based on sparse component analysis[J]. Journal of Information & Computational Science, 2015, 12 (11): 4203- 4213.
18	闫文君, 张立民, 凌青, 等. 一种基于高阶累积量的正交空时分组码盲识别方法[J]. 电子学报, 2016, 44 (5): 1258- 1264. doi: 10.3969/j.issn.0372-2112.2016.05.036
	YAN W J , ZHANG L M , LING Q , et al. A method for blind recognition of orthogonal space time block coding(STBC) using higher order cumulants[J]. Acta Electronica Sinica, 2016, 44 (5): 1258- 1264. doi: 10.3969/j.issn.0372-2112.2016.05.036
19	GAUTAM K.Implementation of space-time block code in MIMO system using antenna diversity[C]//Proc.of the IEEE Recent Developments in Control, Automation & Power Engineering, 2017: 182-186.
20	LARSSON E G , STOICA P , LI J . Orthogonal space-time block codes: maximum likelihood detection for unknown channels and unstructured interferences[J]. IEEE Trans.on Signal Processing, 2003, 51 (2): 362- 372. doi: 10.1109/TSP.2002.806975
21	许宏吉, 刘琚, 谷波, 等. 空时分组码通信中的一类ICA盲检测方案[J]. 通信学报, 2007, 28 (6): 12- 19. doi: 10.3321/j.issn:1000-436X.2007.06.003
	XU H J , LIU J , GU B , et al. ICA based blind detection scheme in space-time block coding communications[J]. Journal on Communications, 2007, 28 (6): 12- 19. doi: 10.3321/j.issn:1000-436X.2007.06.003
22	HE X , HE F , CAI W . Underdetermined BSS based on K-means and AP clustering[J]. Circuits, Systems and Signal Processing, 2016, 35 (8): 2881- 2913. doi: 10.1007/s00034-015-0173-7
23	陈林.空时码盲识别方法研究[D].杭州:杭州电子科技大学, 2012: 21-24.
	CHEN L. Study on blind recognition of space time codes[D]. Hangzhou: Hangzhou Dianzi University, 2012: 21-24.

[1]	Zexuan MA, Jin LI, Yanli LU, Chen CHEN. Network intrusion detection method based on WaveNet and BiGRU [J]. Systems Engineering and Electronics, 2022, 44(8): 2652-2660.
[2]	Haoliang LI, Siwei CHEN, Xuesong WANG. Study on characterization of sea corner reflectors in polarimetric rotation domain [J]. Systems Engineering and Electronics, 2022, 44(7): 2065-2073.
[3]	Jianxing LIU, Tianqi ZHANG, Haojun BAI, Shaopeng YE. Blind recognition algorithm of polar code based on information matrix estimation [J]. Systems Engineering and Electronics, 2022, 44(2): 668-676.
[4]	Feng ZHU, Qianqian JIANG, Chuan LIN, Xiao YANG. Typical wideband EMI identification based on support vector machine [J]. Systems Engineering and Electronics, 2021, 43(9): 2400-2406.
[5]	Li WANG, Ziqi LIU. Fault diagnosis of analog circuit for WPA-IGA-BP neural network [J]. Systems Engineering and Electronics, 2021, 43(4): 1133-1143.
[6]	Hao CHEN, Jun'an YANG, Hui LIU. Communication transmitter individual identification based on deep residual adaptation network [J]. Systems Engineering and Electronics, 2021, 43(3): 603-609.
[7]	Zhaojun WU, Limin ZHANG, Zhaogen ZHONG. Recognition of convolutional interleaver at low SNR [J]. Systems Engineering and Electronics, 2021, 43(2): 546-554.
[8]	Guoling ZHANG, Chongming WU, Rui LI, Jie LAI, Qian XIANG. HRRP target recognition method based on one-dimensional stacked pooling fusion convolutional autoencoder [J]. Systems Engineering and Electronics, 2021, 43(12): 3533-3541.
[9]	Ruochen ZHAO, Jingdong WANG, Siyu LIN, Dongze GU. Small building detection algorithm based on convolutional neural network [J]. Systems Engineering and Electronics, 2021, 43(11): 3098-3106.
[10]	Yuyuan ZHNAG, Wenjun YAN, Limin ZHANG, Yuan ZHANG. Blind recognition algorithm of serial space-time block code based on convolutional neural network [J]. Systems Engineering and Electronics, 2021, 43(11): 3360-3370.
[11]	Jiadong YI, Jie YANG. Radar signal recognition based on IFOA-SA-BP neural network [J]. Systems Engineering and Electronics, 2020, 42(12): 2735-2741.
[12]	Bo LI, Lin ZHANG, Wenfeng WANG, Guannan WANG. Fault feature extraction method based on Park-HHT [J]. Systems Engineering and Electronics, 2020, 42(12): 2944-2952.
[13]	Zhangwen FANG, Jinyi ZHANG, Ke LI, Yuxi JIANG. Semi-supervised feature extraction of communication emitter under small sample condition [J]. Systems Engineering and Electronics, 2020, 42(10): 2381-2389.
[14]	LIU Ying, TIAN Runlan, WANG Xiaofeng. Radar signal recognition method based on deep convolutional neural network and bispectrum feature [J]. Systems Engineering and Electronics, 2019, 41(9): 1998-2005.
[15]	LIU Lifang, YANG Haixia, QI Xiaogang. Time-frequency domain feature extraction algorithm based on linear discriminant analysis [J]. Systems Engineering and Electronics, 2019, 41(10): 2184-2190.

Blind recognition of orthogonal and non-orthogonal space-time block codes based on JADE and feature extraction

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 23

Related Articles 15

Recommended Articles

Metrics

Comments