Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network
Space target identification is key to missile defense. Micromotion, as an inherent attribute of the target, can be used as the theoretical basis for target recognition. Meanwhile, time-varying micro-Doppler (m-D) frequency shifts induce frequency modulations on the target echo, which can be referred...
Saved in:
Main Authors: | Lixun Han, Cunqian Feng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2020/8013802 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing
by: Jing-bo Zhuang, et al.
Published: (2015-01-01) -
Vehicle Attribute Recognition for Normal Targets and Small Targets Based on Multitask Cascaded Network
by: Fang Liu, et al.
Published: (2019-01-01) -
Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network
by: Guimei Yin, et al.
Published: (2025-02-01) -
Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints
by: Chi Zhang, et al.
Published: (2022-01-01) -
Parallel one forms on special Finsler manifolds
by: Salah G. Elgendi
Published: (2024-12-01)