Three-Dimensional Micro-Motion Feature Extraction of Target with Rotating Parts in Multi-Carrier MIMO Radar

LUO Ying; ZHANG Qun; ZHU Ren-fei; LIANG Xian-jiao; JI Nan

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Three-Dimensional Micro-Motion Feature Extraction of Target with Rotating Parts in Multi-Carrier MIMO Radar

更新时间：2025-07-16

- Three-Dimensional Micro-Motion Feature Extraction of Target with Rotating Parts in Multi-Carrier MIMO Radar
- Acta Electronica Sinica Vol. 39, Issue 9, Pages: 1975-1981(2011)
- 作者机构：
  
  1. 空军工程大学电讯工程学院,陕西,西安,710077
  2. 复旦大学波散射与遥感信息国家教育部重点实验室,上海,200433
  3. 95813部队,福建,福州,350000
  4. 空军工程大学电讯工程学院陕西西安,710077
  5. 复旦大学波散射与遥感信息国家教育部重点实验室上海,200433
  6. 95813部队福建福州,350000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2011
- 稿件说明：
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LUO Ying, ZHANG Qun, ZHU Ren-fei, et al. Three-Dimensional Micro-Motion Feature Extraction of Target with Rotating Parts in Multi-Carrier MIMO Radar[J]. Acta Electronica Sinica, 2011, 39(9): 1975-1981.
DOI：

LUO Ying, ZHANG Qun, ZHU Ren-fei, et al. Three-Dimensional Micro-Motion Feature Extraction of Target with Rotating Parts in Multi-Carrier MIMO Radar[J]. Acta Electronica Sinica, 2011, 39(9): 1975-1981. DOI：

摘要

雷达目标的微多普勒效应为目标精确识别提供了新的技术途径

近年来获得了广泛研究.将多输入多输出(MIMO)雷达技术引入雷达目标微多普勒效应研究

在分析多载频MIMO雷达中目标旋转部件微多普勒效应的基础上

提出了一种雷达目标三维微动特征提取方法.该方法通过在回波时频平面上消除目标主体运动产生的多普勒频移

构造相应的Hough变换方程提取时频平面上曲线骨架的参数

再利用MIMO雷达的多视角特性

构建多元非线性方程组求解旋转部件的三维运动参数

从而实现了目标三维微动特征的提取.仿真实验验证了算法的有效性

并对算法的鲁棒性进行了进一步的分析.

Abstract

The micro-Doppler (m-D) effect

which provides a new approach for accurate auto radar target recognition

has attracted great research attention in recent years.In this paper

the multi-input multi-output (MIMO) techniques are introduced for the m-D feature extraction.Based on the analysis of m-D effect induced by radar target with rotating parts in multi-carrier MIMO radar

an algorithm for three-dimensional micro-motion feature extraction is proposed.In the algorithm

the Doppler frequency shift induced by the target body is eliminated from the time-frequency plane of echoes

and the parameters of the curve skelectons on the time-frequency plane are extracted by utilizing the Hough transform

then the three-dimensional micro-motion features can be obtained by solving nonlinear multivariable equation systems.Simulations validate the effectiveness of the algorithm

and the robustness of the algorithm is also analyzed.

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