Translational motion compensation of ballistic targets in midcourse based on 2D spectral vector

WANG Yi-zhe; FENG Cun-qian; ZHAO Shuang; CHEN Bin

doi:10.13873/j.1000-9787(2017)06-0066-04

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Translational motion compensation of ballistic targets in midcourse based on 2D spectral vector

更新时间：2025-09-11

- Translational motion compensation of ballistic targets in midcourse based on 2D spectral vector
- Vol. 36, Issue 6, Pages: 66-69(2017)
- 作者机构：
  
  1. 空军工程大学防空反导学院
  2. 信息感知技术协同创新中心
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)06-0066-04
  CLC： TJ761.3
- Published：2017
- 稿件说明：
移动端阅览
[1]王义哲,冯存前,赵双,陈彬.基于二维谱向量的中段弹道目标平动补偿[J].传感器与微系统,2017,36(06):66-69.

WANG Yi-zhe, FENG Cun-qian, ZHAO Shuang, et al. Translational motion compensation of ballistic targets in midcourse based on 2D spectral vector[J]. 2017, 36(6): 66-69.
[1]王义哲,冯存前,赵双,陈彬.基于二维谱向量的中段弹道目标平动补偿[J].传感器与微系统,2017,36(06):66-69. DOI： 10.13873/j.1000-9787(2017)06-0066-04.

WANG Yi-zhe, FENG Cun-qian, ZHAO Shuang, et al. Translational motion compensation of ballistic targets in midcourse based on 2D spectral vector[J]. 2017, 36(6): 66-69. DOI： 10.13873/j.1000-9787(2017)06-0066-04.

摘要

弹道目标中段的运动是微动与平动的复合

为了提取目标的微多普勒信息

必须先进行平动补偿。首先分析并建立了弹道目标中段的运动模型

说明了将平动近似描述为二阶多项式的合理性

在此基础上

提出了一种基于二维谱向量的平动参数估计方法。利用频域特征与平动参数对应的关系

对细化后回波信号频谱的能量分布和重心位置进行了量化

从而分别实现了加速度和速度的高精度补偿。仿真实验结果表明:在多目标和强噪声的环境下

该方法具有良好的估计性能。

Abstract

As the motion of ballistic targets in midcourse is the complex motion of micro-motion and translation

the translational motion should be compensated to extract micro-Doppler information. The motion model for ballistic targets in midcourse is analyzed and constructed first

and then the rationality of regarding translational motion as a second order polynomial is illustrated. On this basis

a novel method based on two-dimensional spectral vector is proposed to estimate translation parameters. Exploiting the relationship between frequency spectrum and translation parameters

the energy distribution and center of gravity in frequency domain are quantized for zoomed echo signal. Thus the speed and acceleration can be compensated with a high precision. Simulation results show this method exhibits excellent estimation performance under group-target and strong noise environment.

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references

基于信息增量的弹道目标协同跟踪方法 [J]. 李志汇,刘昌云,于洁. 传感器与微系统 . 2015(06)

利用最强散射点信息的平动补偿与微多普勒提取 [J]. 杨有春,童宁宁,冯存前,程冬,沈堤. 西安电子科技大学学报 . 2012(06)

弹道目标平动补偿与微多普勒特征提取方法 [J]. 罗迎,柏又青,张群,段艳丽,朱丰. 电子与信息学报 . 2012(03)

加速度对微多普勒的影响及其补偿研究 [J]. 高红卫,谢良贵,文树梁,匡勇. 宇航学报 . 2009(02)

速度对微多普勒的影响及其补偿研究 [J]. 高红卫,谢良贵,文树梁,匡勇. 航天电子对抗 . 2008(04)

旋转机械振动信号的信息熵特征 [J]. 申弢,黄树红,韩守木,杨叔子. 机械工程学报 . 2001(06)

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