Track Prediction for HF Radar Vessels Submerged in Strong Clutter Based on MSCNN Fusion with GRU-AM and AR Model

Track Prediction for HF Radar Vessels Submerged in Strong Clutter Based on MSCNN Fusion with GRU-AM and AR Model

High-frequency (HF) surface-wave radar has a wide range of applications in marine monitoring due to its long-distance, wide-area, and all-weather detection ability. However, the accurate detection of HF radar vessels is severely restricted by strong clutter and interference, causing the echo of vess...

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Bibliographic Details
Main Authors: Ling Zhang, Jingzhi Zhang, Jiong Niu, Q. M. Jonathan Wu, Gangsheng Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
HF radar
track prediction
multiscale convolution
GRU
attention mechanism
autoregressive model
Online Access:https://www.mdpi.com/2072-4292/13/11/2164

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