Neural-Network-Based Synchronization Acquisition with Hankelization Preprocessing
Conventional synchronization signal detection methods rely on linear correlation function analysis with fixed thresholds, which are insufficient for handling the nonlinear characteristics of practical wireless communication systems. In such environments, the usage of a long synchronization signal is...
Saved in:
| Main Authors: | Gyung-Eun Kim, Jung-Hwan Kim, Jong-Ho Lee, Woong-Hee Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/7/3479 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An NN Framework for Target Number Detection in FMCW Radar Systems via Hankelization: A Low-Dimensional Data Representation Perspective
by: Jung-Hwan Kim, et al.
Published: (2025-01-01) -
A Hankelization-Based Neural Network-Assisted Signal Classification in Integrated Sensing and Communication Systems
by: Linyi Zhang, et al.
Published: (2025-01-01) -
A Novel Neural Network Framework for Automatic Modulation Classification via Hankelization-Based Signal Transformation
by: Jung-Hwan Kim, et al.
Published: (2025-07-01) -
A Multi-site Information Synchronization Scheme Based on Hankel Matrix Singular Value Decomposition
by: LI Ye, JIA Na, HE Jiawei, LI Bin, LIU Xiaoming
Published: (2025-04-01) -
ESTIMATES FOR THE SECOND HANKEL–CLIFFORD TRANSFORM AND TITCHMARSH EQUIVALENCE THEOREM
by: S. S. Volosivets
Published: (2024-06-01)