Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal
To recognize the modulation style adopted in multiple-input-multiple-output orthogonal space-time block code (MIMO-OSTBC) systems, a cooperative modulation recognition algorithm based on the one-dimensional convolutional neural network (1D-CNN) was proposed.With the lossless I/Q signal selected as s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021142/ |
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| author | Zeliang AN Tianqi ZHANG Baoze MA Pan DENG Yuqing XU |
| author_facet | Zeliang AN Tianqi ZHANG Baoze MA Pan DENG Yuqing XU |
| author_sort | Zeliang AN |
| collection | DOAJ |
| description | To recognize the modulation style adopted in multiple-input-multiple-output orthogonal space-time block code (MIMO-OSTBC) systems, a cooperative modulation recognition algorithm based on the one-dimensional convolutional neural network (1D-CNN) was proposed.With the lossless I/Q signal selected as shallow features, the zero-forcing blind equalization was first leveraged to improve the discrimination of different modulation signals.Then the 1D-CNN recognition model was devised and trained to extract deep features from shallow ones.Later, two decision fusion strategies of voting-based and confidence-based were leveraged in the multiple-antenna receiver to improve recognition accuracy.Experimental results show that the proposed algorithm can effectively recognize five modulation types {BPSK, 4PSK,8PSK,16QAM,4PAM}, with a 100% recognition accuracy when the signal-to-noise is equal or greater than-2 dB. |
| format | Article |
| id | doaj-art-f5d274b151424a48ab3c8bc6c0fbc57d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f5d274b151424a48ab3c8bc6c0fbc57d2025-01-14T07:22:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-07-0142849459743934Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signalZeliang ANTianqi ZHANGBaoze MAPan DENGYuqing XUTo recognize the modulation style adopted in multiple-input-multiple-output orthogonal space-time block code (MIMO-OSTBC) systems, a cooperative modulation recognition algorithm based on the one-dimensional convolutional neural network (1D-CNN) was proposed.With the lossless I/Q signal selected as shallow features, the zero-forcing blind equalization was first leveraged to improve the discrimination of different modulation signals.Then the 1D-CNN recognition model was devised and trained to extract deep features from shallow ones.Later, two decision fusion strategies of voting-based and confidence-based were leveraged in the multiple-antenna receiver to improve recognition accuracy.Experimental results show that the proposed algorithm can effectively recognize five modulation types {BPSK, 4PSK,8PSK,16QAM,4PAM}, with a 100% recognition accuracy when the signal-to-noise is equal or greater than-2 dB.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021142/modulation recognitionMIMO-OSTBCzero-forcing blind equalization1D-CNNdecision fusion |
| spellingShingle | Zeliang AN Tianqi ZHANG Baoze MA Pan DENG Yuqing XU Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal Tongxin xuebao modulation recognition MIMO-OSTBC zero-forcing blind equalization 1D-CNN decision fusion |
| title | Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal |
| title_full | Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal |
| title_fullStr | Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal |
| title_full_unstemmed | Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal |
| title_short | Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal |
| title_sort | cooperative modulation recognition based on one dimensional convolutional neural network for mimo ostbc signal |
| topic | modulation recognition MIMO-OSTBC zero-forcing blind equalization 1D-CNN decision fusion |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021142/ |
| work_keys_str_mv | AT zeliangan cooperativemodulationrecognitionbasedononedimensionalconvolutionalneuralnetworkformimoostbcsignal AT tianqizhang cooperativemodulationrecognitionbasedononedimensionalconvolutionalneuralnetworkformimoostbcsignal AT baozema cooperativemodulationrecognitionbasedononedimensionalconvolutionalneuralnetworkformimoostbcsignal AT pandeng cooperativemodulationrecognitionbasedononedimensionalconvolutionalneuralnetworkformimoostbcsignal AT yuqingxu cooperativemodulationrecognitionbasedononedimensionalconvolutionalneuralnetworkformimoostbcsignal |