Multi-Function Working Mode Recognition Based on Multi-Feature Joint Learning
With advancements in phased array and cognitive technologies, the adaptability of modern multifunction radars (MFRs) has significantly improved, enabling greater flexibility in waveform parameters and beam scheduling. However, these enhancements have made it increasingly difficult to establish fixed...
Saved in:
| Main Authors: | Lei Liu, Minghua Wu, Dongyang Cheng, Wei Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/3/521 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU
by: GAO Wendi, et al.
Published: (2025-04-01) -
Multi‐function radar work mode recognition based on residual shrinkage reconstruction recurrent neural network
by: Lihong Wang, et al.
Published: (2024-11-01) -
Efficient multi‐perspective jamming feature perception network for suppressive jamming recognition with limited training samples
by: Minghua Wu, et al.
Published: (2024-11-01) -
A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction
by: Zhiyuan Li, et al.
Published: (2025-03-01) -
Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model
by: ZHANG Jingke, et al.
Published: (2024-12-01)