Sea Clutter Suppression Based on Chaotic Prediction Model by Combining the Generator and Long Short-Term Memory Networks

Sea Clutter Suppression Based on Chaotic Prediction Model by Combining the Generator and Long Short-Term Memory Networks

Sea clutter usually greatly affects the target detection and identification performance of marine surveillance radars. In order to reduce the impact of sea clutter, a novel sea clutter suppression method based on chaos prediction is proposed in this paper. The method combines a generator trained by...

Full description

Bibliographic Details
Main Authors: Jindong Yu, Baojing Pan, Ze Yu, Hongling Zhu, Hanfu Li, Chao Li, Hezhi Sun
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Remote Sensing
Subjects:
chaotic prediction
generative adversarial networks (GANs)
long short-term memory (LSTM)
sea clutter suppression
Online Access:https://www.mdpi.com/2072-4292/16/7/1260

Internet

https://www.mdpi.com/2072-4292/16/7/1260

Similar Items