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:
Main Author: | Tay, Shaun |
---|---|
Other Authors: | Teh Kah Chan |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/149868 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine learning based technique for detection of communication signal under noise floor
by: Zhong, Hongrui
Published: (2022) -
Robust machine-learning based algorithm for detection of signal under noise floor
by: Wang, Wenbo
Published: (2022) -
Deep learning in channel estimation and signal detection in OFDM systems
by: Wang, Zefan
Published: (2022) -
Deep learning based signal detection for low signal-to-noise ratio system
by: Tang, Kirk Ji Wei
Published: (2022) -
Smart grid intrusion detection based on machine learning
by: Sun, Yihan
Published: (2022)