Three-dimensional Micro-motion Parameters Extraction of Translational Rotating Targets Based on Vortex Electromagnetic Wave Radar

被引：0

作者：

Yuan H. ^{[1
]}

He Q. ^{[2
]}

Luo Y. ^{[1
]}

Wang Z. ^{[1
]}

Zhang Q. ^{[1
]}

机构：

[1] College of Information and Navigation, Air Force Engineering University, Xi’an

[2] Unit 93114 of PLA, Beijing

来源：

Journal of Radars | 2023年 / 12卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Micro-Doppler; Rotating target; Three-dimensional micro-motion; Translational motion; Vortex Electromagnetic Wave Radar (VEMWR);

D O I：

10.12000/JR23065

中图分类号：

学科分类号：

摘要：

Compared with traditional Electromagnetic (EM) wave radars, vortex EM wave radars can simultaneously observe the micro-motion components projected onto the radar’s radial and perpendicular planes, providing more information for target recognition. The current research on the micro-Doppler effect of vortex EM wave radar is still in its infancy, and the extraction of three-dimensional micro-motion parameters of rotating targets has been preliminarily achieved. However, the impact of target translation was not considered. Therefore, the micro-Doppler effect of translational rotating targets in vortex EM wave radar is studied in this paper. The angular Doppler properties of translational rotating targets are derived, and a three-dimensional micro-motion parameter extraction method based on the 1/4 micro-motion period Doppler frequency shift curve is proposed. Estimation of parameters such as target rotation frequency, rotation radius, rotation vector and translational velocity vector is achieved. The correctness of angular Doppler properties and the effectiveness of parameter extraction method are verified by simulations. © 2023 Institute of Electronics Chinese Academy of Sciences. All rights reserved.

引用

页码：804 / 816

页数：12

共 22 条

[1]

CHEN Xiaolong, GUAN Jian, HE You, Applications and prospect of micro-motion theory in the detection of sea surface target[J], Journal of Radars, 2, 1, pp. 123-134, (2013)

[2]

LIU Yingxi, ZHANG Qun, LIU Zhidong, Et al., An anti-jamming method against interrupted sampling repeater jamming based on compressed sensing, Sensors, 22, 6, (2022)

[3]

XIONG Shichao, NI Jiacheng, ZHANG Qun, Et al., Ground moving target imaging for highly squint SAR by modified minimum entropy algorithm and spectrum rotation, Remote Sensing, 13, 21, (2021)

[4]

WANG Haobo, LI Kaiming, LU Xiaofei, Et al., ISAR resolution enhancement method exploiting generative adversarial network, Remote Sensing, 14, 5, (2022)

[5]

GUO Zhongyi, WANG Yanzhe, WANG Yunlai, Et al., Research advances on the rotational Doppler effect of vortex electromagnetic waves[J], Journal of Radars, 10, 5, pp. 725-739, (2021)

[6]

WANG Zhihao, LUO Ying, LI Kaiming, Et al., Micro-Doppler parameters extraction of precession cone-shaped targets based on rotating antenna, Remote Sensing, 14, 11, (2022)

[7]

WANG Zhihao, CHEN Yijun, YUAN Hang, Et al., Real micro-Doppler parameters extraction of spinning targets based on rotating interference antenna, Remote Sensing, 14, 21, (2022)

[8]

TIAN Xudong, BAI Xueru, ZHOU Feng, Recognition of micro-motion space targets based on attention-augmented cross-modal feature fusion recognition network, IEEE Transactions on Geoscience and Remote Sensing, 61, (2023)

[9]

ZHOU Xuening, BAI Xueru, WANG Li, Et al., Robust ISAR target recognition based on ADRISAR-net[J], IEEE Transactions on Aerospace and Electronic Systems, 58, 6, pp. 5494-5505, (2022)

[10]

BAI Xueru, HUI Ye, WANG Li, Et al., Radar-based human gait recognition using dual-channel deep convolutional neural network[J], IEEE Transactions on Geoscience and Remote Sensing, 57, 12, pp. 9767-9778, (2019)

← 1 2 3 →