Fusion recognition of space targets with micromotion

X Tian, X Bai, R Xue, R Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
During the observation of micromotion targets in space, inverse synthetic aperture radar
usually obtains the narrowband and wideband echoes simultaneously. In order to exploit …

End-to-end recognition of similar space cone–cylinder targets based on complex-valued coordinate attention networks

YP Zhang, Q Zhang, L Kang, Y Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Except for the slight difference of micromotion parameters, some decoys and warheads have
the same geometry and micromotion form. As a result, recognition of similar space cone …

Recognition of micro-motion space targets based on attention-augmented cross-modal feature fusion recognition network

X Tian, X Bai, F Zhou - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Narrowband and wideband waveforms are usually adopted simultaneously during the
observation of micro-motion space targets by inverse synthetic aperture radar (ISAR), which …

Cone-shaped space target inertia characteristics identification by deep learning with compressed dataset

S Wang, M Li, T Yang, X Ai, J Liu… - … on Antennas and …, 2022 - ieeexplore.ieee.org
An effective method for identifying inertia characteristics of cone-shaped space target based
on deep learning is proposed. The inertia ratio is determined by the time-varying scattering …

Space target classification with corrupted HRRP sequences based on temporal–spatial feature aggregation network

YP Zhang, L Zhang, L Kang, H Wang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
High-resolution range profile (HRRP) sequences have great potential for space target
classification because they can provide both scattering information and micromotion …

Efficient discrimination of ballistic targets with micromotions

IO Choi, SH Park, M Kim, KB Kang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The micro-Doppler phenomenon in the echo signal received from a ballistic target (BT) with
micro-motion is commonly used to discriminate BTs such as warheads and decoys. The joint …

[HTML][HTML] The design of the 1D CNN–GRU network based on the RCS for classification of multiclass missiles

AR Kim, HS Kim, CH Kang, SY Kim - Remote Sensing, 2023 - mdpi.com
For real-time target classification, a study was conducted to improve the AI-based target
classification performance using RCS measurements that are vulnerable to noise, but can …

Interrupted-sampling repeater jamming suppression based on stacked bidirectional gated recurrent unit network and infinite training

J Chen, S Xu, J Zou, Z Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Interrupted-sampling repeater jamming (ISRJ) is coherent jamming based on digital radio
frequency memory (DRFM) device, which repeatedly samples, stores, modulates, and …

Gaf representation of millimeter wave drone rcs and drone classification method based on deep fusion network using resnet

L Ye, S Hu, T Yan, Y Xie - IEEE Transactions on Aerospace and …, 2022 - ieeexplore.ieee.org
In recent years, with the rapid increase in the number of drones, the abuse of drones for
activities such as terrorist attacks is bound to pose a threat to public safety and privacy …

Classification of space micromotion targets with similar shapes at low SNR

Y Wang, C Feng, X Hu, Y Zhang - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
There are a number of targets in space that are similar in shape, but they pose different
threat levels. It is necessary to discriminate these targets for the sake of space security. The …