Radar target shape recognition using a gated recurrent unit based on RCS time series' statistical features by sliding window segmentation
Abstract The radar cross section (RCS) is an important parameter that reflects the scattering characteristics of radar targets. Based on the monostatic radar RCS time series' statistical features by sliding window segmentation, a novel sliding window‐statistical‐gated recurrent unit (SW‐S‐GRU)...
Saved in:
Main Authors: | Lv Ye, ShengBo Hu, TingTing Yan, Xin Meng, ManQin Zhu, RuiZe Xu |
---|---|
Format: | article |
Language: | EN |
Published: |
Wiley
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/12bd1a2712d447b09e8b42da9959555b |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Direction of arrival estimation in passive radar based on deep neural network
by: Xiaoyong Lyu, et al.
Published: (2021) -
Dense false target jamming suppression for airborne superimposed stepped frequency radar
by: Wei Chen, et al.
Published: (2021) -
Newtonalized orthogonal matching pursuit for the linear frequency‐modulated pulse frequency agile radar
by: Jiang Zhu, et al.
Published: (2021) -
Micro‐motion parameter extraction of rotating target based on vortex electromagnetic wave radar
by: Hang Yuan, et al.
Published: (2021) -
Design of a novel CEM‐FRM‐based low‐complexity channelised radar transmitter
by: Wenxu Zhang, et al.
Published: (2021)