A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems
Terahertz (THz) communication is regarded as a key technology for achieving high-speed data transmission and wireless communication due to its ultra-high frequency and large bandwidth characteristics. In this study, we focus on a single-carrier THz communication system and propose a two-stage deep l...
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2025-08-01
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| author | Yunchuan Liu Hongcheng Yang Ziqi Liu Minghan Jia Shang Li Jiajie Li Jingsuo He Zhe Yang Cunlin Zhang |
| author_facet | Yunchuan Liu Hongcheng Yang Ziqi Liu Minghan Jia Shang Li Jiajie Li Jingsuo He Zhe Yang Cunlin Zhang |
| author_sort | Yunchuan Liu |
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| description | Terahertz (THz) communication is regarded as a key technology for achieving high-speed data transmission and wireless communication due to its ultra-high frequency and large bandwidth characteristics. In this study, we focus on a single-carrier THz communication system and propose a two-stage deep learning-based time-domain equalization method, specifically designed to mitigate the nonlinear distortions in such systems, thereby enhancing communication reliability and performance. The method adopts a progressive learning strategy, whereby global characteristics are initially captured before progressing to local levels. This enables the effective identification and equalization of channel characteristics, particularly in the mitigation of nonlinear distortion and random interference, which can otherwise negatively impact communication quality. In an experimental setting at a frequency of 230 GHz and a channel distance of 2.1 m, this method demonstrated a substantial reduction in the system’s bit error rate (BER), exhibiting particularly noteworthy performance enhancements in comparison to before equalization. To validate the model’s generalization capability, data collection and testing were also conducted at a frequency of 310 GHz and a channel distance of 1.5 m. Experimental results show that the proposed time-domain equalizer, trained using the two-stage DL framework, achieved significant BER reductions of approximately 92.15% at 230 GHz (2.1 m) and 83.33% at 310 GHz (1.5 m), compared to the system’s performance prior to equalization. The method exhibits stable performance under varying conditions, supporting its use in future THz communication studies. |
| format | Article |
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| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-0ba34784d1a8443aa32b3dbaa41f05a02025-08-20T03:36:30ZengMDPI AGSensors1424-82202025-08-012515482510.3390/s25154825A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication SystemsYunchuan Liu0Hongcheng Yang1Ziqi Liu2Minghan Jia3Shang Li4Jiajie Li5Jingsuo He6Zhe Yang7Cunlin Zhang8Key Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaKey Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, ChinaTerahertz (THz) communication is regarded as a key technology for achieving high-speed data transmission and wireless communication due to its ultra-high frequency and large bandwidth characteristics. In this study, we focus on a single-carrier THz communication system and propose a two-stage deep learning-based time-domain equalization method, specifically designed to mitigate the nonlinear distortions in such systems, thereby enhancing communication reliability and performance. The method adopts a progressive learning strategy, whereby global characteristics are initially captured before progressing to local levels. This enables the effective identification and equalization of channel characteristics, particularly in the mitigation of nonlinear distortion and random interference, which can otherwise negatively impact communication quality. In an experimental setting at a frequency of 230 GHz and a channel distance of 2.1 m, this method demonstrated a substantial reduction in the system’s bit error rate (BER), exhibiting particularly noteworthy performance enhancements in comparison to before equalization. To validate the model’s generalization capability, data collection and testing were also conducted at a frequency of 310 GHz and a channel distance of 1.5 m. Experimental results show that the proposed time-domain equalizer, trained using the two-stage DL framework, achieved significant BER reductions of approximately 92.15% at 230 GHz (2.1 m) and 83.33% at 310 GHz (1.5 m), compared to the system’s performance prior to equalization. The method exhibits stable performance under varying conditions, supporting its use in future THz communication studies.https://www.mdpi.com/1424-8220/25/15/4825deep learningterahertzdigital communicationLSTM |
| spellingShingle | Yunchuan Liu Hongcheng Yang Ziqi Liu Minghan Jia Shang Li Jiajie Li Jingsuo He Zhe Yang Cunlin Zhang A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems Sensors deep learning terahertz digital communication LSTM |
| title | A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems |
| title_full | A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems |
| title_fullStr | A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems |
| title_full_unstemmed | A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems |
| title_short | A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems |
| title_sort | two stage time domain equalization method for mitigating nonlinear distortion in single carrier thz communication systems |
| topic | deep learning terahertz digital communication LSTM |
| url | https://www.mdpi.com/1424-8220/25/15/4825 |
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