Improved OFDM THz Communication System Performance through Noise Suppression and Channel Estimation via Channel Matrix Pruning Technique
- Resource Type
- Conference
- Authors
- Torkaman, Pouya; Miao, Xuan-Wei; Su, Po-Cheng; Shih, Fu-Kai; Feng, Kai-Ming; Yang, Shang-Hua
- Source
- 2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2023 48th International Conference on. :1-2 Sep, 2023
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Wireless communication
OFDM
Noise reduction
Channel estimation
Symbols
Mean square error methods
Intensity modulation
- Language
- ISSN
- 2162-2035
Channel estimation is crucial in ensuring the quality of transmitted data in wireless THz communication. To evaluate the performance of different channel estimation techniques, we conducted an experimental transmission of 4 to 64 QAM-OFDM signals using intensity modulation and direct detection methods over a 4.5-meter wireless link distance. Subsequently, we proposed a pruning technique that utilizes only a 1-block type symbol pilot to improve channel estimation. Our results demonstrate that using this technique and 1-block type pilot OFDM symbols leads to better mean square error than utilizing 8-block type pilots when transmitting 64 OFDM data symbols. This highlights the effectiveness of our proposed pruning technique in improving channel estimation for wireless THz communication.