Detection of single channel signal under noise floor using machine learning
The detection of digital signals under the noise floor has remain a challenge in digital communication systems. As the signal-to-noise ratio (SNR) falls below 0 dB, the detection of digital signals becomes increasingly challenging with false alarms also being a problem. The noise floor consists of t...
Saved in:
主要作者: | Tay, Shaun |
---|---|
其他作者: | Teh Kah Chan |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2021
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/149868 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Machine learning based technique for detection of communication signal under noise floor
由: Zhong, Hongrui
出版: (2022) -
Robust machine-learning based algorithm for detection of signal under noise floor
由: Wang, Wenbo
出版: (2022) -
Deep learning in channel estimation and signal detection in OFDM systems
由: Wang, Zefan
出版: (2022) -
Deep learning based signal detection for low signal-to-noise ratio system
由: Tang, Kirk Ji Wei
出版: (2022) -
Novel data detection and channel estimation methods for coded and uncoded CPM signals
由: Wang, Wenwen
出版: (2014)