Digital modulation recognition based on discriminative restricted Boltzmann machine
In order to improve the performance of digital modulation recognition under high dynamic signal-to-noise ratio, a joint modulation recognition method based on high-order cumulant and discriminative restricted Boltzmann machine was proposed, which extracted the high-order cumulant of digital signals...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2021-02-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021012/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539253753872384 |
|---|---|
| author | Zhengquan LI Yuan LIN Mengya LI Yang LIU Qiong WU Song XING |
| author_facet | Zhengquan LI Yuan LIN Mengya LI Yang LIU Qiong WU Song XING |
| author_sort | Zhengquan LI |
| collection | DOAJ |
| description | In order to improve the performance of digital modulation recognition under high dynamic signal-to-noise ratio, a joint modulation recognition method based on high-order cumulant and discriminative restricted Boltzmann machine was proposed, which extracted the high-order cumulant of digital signals as signal features, comprehensively utilized the generation ability and classification ability of the discriminative restricted Boltzmann machine, analyzed the recognition rate of digital signals in environments containing Gaussian noise, time-varying phase offset or Rayleigh fading.Experimental results show that compared with traditional classification methods, the recognition performance of the proposed method is obviously improved.In addition, the use of the model’s generation ability to reconstruct the input features can effectively improve the signal recognition rate under low signal-to-noise ratio. |
| format | Article |
| id | doaj-art-06143352c49a4dcaa2f3b0d4226fe18a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-06143352c49a4dcaa2f3b0d4226fe18a2025-01-14T07:21:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-02-0142819159740258Digital modulation recognition based on discriminative restricted Boltzmann machineZhengquan LIYuan LINMengya LIYang LIUQiong WUSong XINGIn order to improve the performance of digital modulation recognition under high dynamic signal-to-noise ratio, a joint modulation recognition method based on high-order cumulant and discriminative restricted Boltzmann machine was proposed, which extracted the high-order cumulant of digital signals as signal features, comprehensively utilized the generation ability and classification ability of the discriminative restricted Boltzmann machine, analyzed the recognition rate of digital signals in environments containing Gaussian noise, time-varying phase offset or Rayleigh fading.Experimental results show that compared with traditional classification methods, the recognition performance of the proposed method is obviously improved.In addition, the use of the model’s generation ability to reconstruct the input features can effectively improve the signal recognition rate under low signal-to-noise ratio.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021012/modulation recognitionrestricted Boltzmann machinehigh-order cumulantdata reconstruction |
| spellingShingle | Zhengquan LI Yuan LIN Mengya LI Yang LIU Qiong WU Song XING Digital modulation recognition based on discriminative restricted Boltzmann machine Tongxin xuebao modulation recognition restricted Boltzmann machine high-order cumulant data reconstruction |
| title | Digital modulation recognition based on discriminative restricted Boltzmann machine |
| title_full | Digital modulation recognition based on discriminative restricted Boltzmann machine |
| title_fullStr | Digital modulation recognition based on discriminative restricted Boltzmann machine |
| title_full_unstemmed | Digital modulation recognition based on discriminative restricted Boltzmann machine |
| title_short | Digital modulation recognition based on discriminative restricted Boltzmann machine |
| title_sort | digital modulation recognition based on discriminative restricted boltzmann machine |
| topic | modulation recognition restricted Boltzmann machine high-order cumulant data reconstruction |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021012/ |
| work_keys_str_mv | AT zhengquanli digitalmodulationrecognitionbasedondiscriminativerestrictedboltzmannmachine AT yuanlin digitalmodulationrecognitionbasedondiscriminativerestrictedboltzmannmachine AT mengyali digitalmodulationrecognitionbasedondiscriminativerestrictedboltzmannmachine AT yangliu digitalmodulationrecognitionbasedondiscriminativerestrictedboltzmannmachine AT qiongwu digitalmodulationrecognitionbasedondiscriminativerestrictedboltzmannmachine AT songxing digitalmodulationrecognitionbasedondiscriminativerestrictedboltzmannmachine |