北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (7): 1459-1466.doi: 10.13700/j.bh.1001-5965.2018.0641

• 论文 • 上一篇    下一篇

进动弹道目标平动补偿与分离

韩立珣1, 田波1, 冯存前1,2, 贺思三1   

  1. 1. 空军工程大学 防空反导学院, 西安 710051;
    2. 信息感知技术协同创新中心, 西安 710077
  • 收稿日期:2018-11-05 出版日期:2019-07-20 发布日期:2019-07-25
  • 通讯作者: 冯存前 E-mail:fengcunqian@sina.com
  • 作者简介:韩立珣 男,硕士研究生。主要研究方向:雷达信号处理;田波 男,博士,副教授,硕士生导师。主要研究方向:雷达及电子战系统;冯存前 男,博士,教授,博士生导师。主要研究方向:目标探测与识别、雷达及电子战系统;贺思三 男,博士,副教授,硕士生导师。主要研究方向:雷达及电子战系统。
  • 基金资助:
    国家自然科学基金(61501495,61701528)

Translation compensation and resolution of ballistic target with precession

HAN Lixun1, TIAN Bo1, FENG Cunqian1,2, HE Sisan1   

  1. 1. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China;
    2. Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China
  • Received:2018-11-05 Online:2019-07-20 Published:2019-07-25
  • Supported by:
    National Natural Science Foundation of China (61501495,61701528)

摘要: 弹道目标在中段高速运动时会造成微多普勒曲线的叠加折叠,此时传统的平动补偿方法并不适用于弹道目标。在分析进动锥体弹道目标各个散射点的频率特性后,发现曲线交点处的频率完全是由平动引起的。根据这一特性,提出一种利用时频图交点信息进行平动补偿的方法。首先,得到回波信号的时频骨架图;然后,采用基于双边滤波器的Harris角点检测方法提取出时频骨架中的角点进而得到时频图中的交点坐标;最后,利用交点坐标估计出平动参数进行平动补偿。针对传统Viterbi算法在曲线交点容易产生错误关联的问题,提出一种利用交点信息的分段Viterbi算法对补偿后的时频曲线进行分离。仿真实验验证了所提方法的有效性。

关键词: 弹道目标, 微多普勒, 平动补偿, 角点检测, Viterbi算法

Abstract: The ballistic target will cause superposition and folding of the micro-Doppler curve when moving in the midcourse at high speed, the traditional translation compensation method is not suitable for ballistic target translation compensation. After analyzing the frequency characteristics of each scattering point at the precession, it is found that the frequency at the intersection of the curves is completely caused by the translation. According to this property, a method of using the time-frequency image intersection information to perform translation compensation is proposed. First, the time-frequency skeleton image of the echo signal is obtained, then the Harris corner detection method based on bilateral filter is used to extract the corner points in skeleton and the intersection coordinates in the time-frequency image are obtained. Finally, the coordinates of intersection points are used to estimate the translation parameters for translation compensation. For the problem that the traditional Viterbi algorithm is easy to generate false correlations at the intersection of curves, a segmentation Viterbi algorithm using intersection information is proposed to separate the compensated time-frequency curves. Simulation experiments verify the effectiveness of the proposed method.

Key words: ballistic targets, micro-Doppler, translation compensation, corner detection, Viterbi algorithm

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