Research on Sea Clutter Simulation Method Based on Deep Cognition of Characteristic Parameters
The development of radar systems requires extensive testing. However, field experiments are costly and time-consuming. Sea clutter simulation is of great significance for evaluating radar system detection performance. Traditional clutter simulation methods are unable to achieve clutter simulation ba...
Saved in:
Main Authors: | Peng Zeng, Yushi Zhang, Xiaoyun Xia, Jinpeng Zhang, Pengbo Du, Zhiheng Hua, Shuhan Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/24/4741 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Characteristic Description and Statistical Model-Based Method for Sea Clutter Modeling
by: Huafeng He, et al.
Published: (2024-11-01) -
Semi-Empirical Approach to Evaluating Model Fit for Sea Clutter Returns: Focusing on Future Measurements in the Adriatic Sea
by: Bojan Vondra
Published: (2024-12-01) -
An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering
by: Zhao Shi, et al.
Published: (2024-12-01) -
Speech characteristics that differentiate stuttering and cluttering in Japanese speakers
by: Shuta Tomisato, et al.
Published: (2024-11-01) -
Learning From Clutter: An Unsupervised Learning-Based Clutter Removal Scheme for GPR B-Scans
by: Qiqi Dai, et al.
Published: (2024-01-01)