Precession Feature Extraction of Ballistic Targets Based on Dynamic ISAR Image Sequence

FONT face; Verdana; JIN Guang; GAO Xun; LI Xiang; CHEN Yong; FONT

您当前的位置：

首页 >

文章列表页 >

Precession Feature Extraction of Ballistic Targets Based on Dynamic ISAR Image Sequence

更新时间：2025-07-16

- Precession Feature Extraction of Ballistic Targets Based on Dynamic ISAR Image Sequence
- Acta Electronica Sinica Vol. 38, Issue 6, Pages: 1233-1238(2010)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
FONT face, Verdana, JIN Guang, et al. Precession Feature Extraction of Ballistic Targets Based on Dynamic ISAR Image Sequence[J]. Acta Electronica Sinica, 2010, 38(6): 1233-1238.
DOI：

FONT face, Verdana, JIN Guang, et al. Precession Feature Extraction of Ballistic Targets Based on Dynamic ISAR Image Sequence[J]. Acta Electronica Sinica, 2010, 38(6): 1233-1238. DOI：

摘要

<FONT face=Verdana>中段弹道目标进动特征是分辨弹头及诱饵的重要依据.以二维ISAR图像序列为基础，分析了弹道目标成像特点和目标姿态角的变化过程，提出了基于图像配准的ISAR像姿态差估计方法；采用等间隔配准避免了配准奇异，根据姿态差二次方曲线实现了进动参数的估计，给出了计算目标进动角、进动周期的具体步骤.仿真结果表明，该方法能够实现弹道目标进动特征提取，估计精度较高.

Abstract

<FONT face=Verdana>The precession parameters of ballistic targets are of great importance to warheads and decoys discrimination.Based on dynamic ISAR image sequence

this paper analyzes the specialties of scattering and ISAR imaging of spatial ballistic targets.The history of posture changing is deduced.And a method for posture difference evaluating based on image registration is proposed.Moreover

equal interval registration method is adopted to avoid singular registration.Precession parameters are extracted based on posture difference curve.And the extraction process is presented detailedly.Experimental results show that the posture difference can be estimated correctly and the precession parameter estimation has good precision.

关键词

Keywords

references

Views

2524

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Dynamic Continuous Emotional Recognition of EEG Based on Improved TCNN Algorithm

Research on Lightweight Sensing Technology Based on Single Antenna and Multiple Subcarriers

Method of Security Situation Assessment Based on Improved Random Forest for Industrial Internet

Research on the Generation of Adversarial Samples Based on the Attribution of Principal Features

Related Author

JIE Li-lin

LIU Yong

WANG Ming-xun

ZOU Yang-meng

XU Yi-lu

LU Yu-ming

JIANG Yu

WANG Jia-dong

Related Institution

School of Instrument Science and Optoelectronic Engineering, Nanchang Hangkong University

School of Aviation Services and Music, Nanchang Hangkong University

School of Software, Jiangxi Agricultural University

School of Aeronautical Manufacturing and Mechanical Engineering, Nanchang Hangkong University

School of Cyber Science and Engineering, Southeast University

⁰