MIMO Signal Modulation Recognition Algorithm Based on ICA and Feature Extraction

被引：0
|
作者：
Zhang T. [1 ]
Fan C. [1 ]
Ge W. [1 ]
Zhang T. [1 ]
机构：
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2020年 / 42卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Cyclic spectrum; Independent Component Analysis (ICA); Multiple Input Multiple Output (MIMO) signals; Neural network; Signal processing; Sixth-order cumulant;
D O I：
10.11999/JEITdzyxxxb-42-9-2208
中图分类号：
学科分类号：
摘要：
For blind modulation recognition of Multiple Input Multiple Output (MIMO) signals in non-cooperative communication, a modulation recognition method based on Independent Component Analysis (ICA) and feature extraction is proposed. According to the signal independence of each transmitting antenna in space division multiplexing MIMO system, the ICA algorithm is used to separate the transmitting signal from the received mixed signal. In order to realize modulation recognition under completely blind condition, the Minimum Description Length (MDL) criterion is used to estimate the number of transmitting antennas before ICA separation. After obtaining the transmitted signal, four characteristic parameters are constructed by using six-order cumulant, cyclic spectrum and fourth-power spectrum algorithm, and then the modulation type of the signal is identified by using hierarchical neural network classifier. The simulation results show that the proposed method can effectively recognize {2PSK, 2ASK, 2FSK, 4PSK, 4ASK, MSK, 8PSK, 16QAM} eight MIMO signals at low SNR. When the number of transmitting antennas is 2, the number of receiving antennas is 5 and the SNR is 2dB, the recognition rate can reach more than 98%.
引用
收藏
页码：2208 / 2215
页数：7
相关论文
共 16 条
  • [1] ZHAO Yong, XU Yitao, JIANG Han, Et al., Recognition of digital modulation signals based on high-order cumulants, 2015 International Conference on Wireless Communications & Signal Processing, pp. 1-5, (2015)
  • [2] GUO Limin, KOU Yunhan, CHEN Tao, Et al., Low probability of intercept radar signal recognition based on stacked sparse auto-encoder, Journal of Electronics&Information Technology, 40, 4, pp. 875-881, (2018)
  • [3] CHEN Tao, LIU Lizhi, GUO Limin, Intra-pulse modulation recognition of radar signals based on MWC compressed sampling wideband receiver, Journal of Electronics&Information Technology, 40, 4, pp. 867-874, (2018)
  • [4] ZHANG Li, LI Qing, Research on modulation recognition algorithm based on higher-order cumulant, Journal of Information Engineering University, 18, 4, pp. 403-408, (2017)
  • [5] TAN Xiaoheng, CHU Guoxing, ZHANG Xuejing, Et al., Modulation recognition algorithm based on high - order cumulants and wavelet transform, Systems Engineering and Electronics, 40, 1, pp. 171-177, (2018)
  • [6] ZHAO Xiongwen, GUO Chunxia, LI Jingchun, Mixed recognition algorithm for signal modulation schemes by high-order cumulants and cyclic spectrum, Journal of Electronics&Information Technology, 38, 3, pp. 674-680, (2016)
  • [7] CHOQUEUSE V, AZOU S, YAO K, Et al., Blind modulation recognition for MIMO systems, MTA Review, 19, 2, pp. 183-196, (2009)
  • [8] ZHANG Luping, WANG Jianxin, Blind modulation recognition for MIMO signals, Journal of Applied Sciences, 30, 2, pp. 135-140, (2012)
  • [9] DAS D, BORA P K, BHATTACHARJEE R., Blind modulation recognition of the lower order PSK signals under the MIMO Keyhole channel, IEEE Communications Letters, 22, 9, pp. 1834-1837, (2018)
  • [10] WEI Mengchuan, WEI Zaixue, YANG Jianyi, Et al., Automatic modulation recognition of digital signal based on auto-encoding network in MIMO System, The 18th IEEE International Conference on Communication Technology, pp. 1017-1021, (2018)
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