系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (4): 1166-1173.doi: 10.12305/j.issn.1001-506X.2022.04.12

• 传感器与信号处理 • 上一篇    下一篇

基于吕氏分布的机动目标参数化平动补偿方法

刘丰恺1, 黄大荣1,*, 郭新荣2, 冯存前1   

  1. 1. 空军工程大学防空反导学院, 陕西 西安 710051
    2. 武警工程大学基础部, 陕西 西安 710086
  • 收稿日期:2020-12-01 出版日期:2022-04-01 发布日期:2022-04-01
  • 通讯作者: 黄大荣
  • 作者简介:刘丰恺(1997—), 男, 硕士研究生, 主要研究方向为雷达信号处理、ISAR成像及运动补偿|黄大荣(1986—), 男, 副教授, 博士, 主要研究方向为雷达总体设计、雷达成像及运动补偿|郭新荣(1987—), 女, 讲师, 硕士, 主要研究方向为ISAR成像及运动补偿|冯存前(1975—), 男, 教授, 博士, 主要研究方向为目标探测与识别、雷达信号处理
  • 基金资助:
    国家自然科学基金青年项目(61701528);陕西省基金青年项目(2019JQ-497);博士后科学基金(2019M661508);航空科学基金(201920096001)

Parametric translational compensation method for maneuvering target based on Lv's distribution

Fengkai LIU1, Darong HUANG1,*, Xinrong GUO2, Cunqian FENG1   

  1. 1. Air and Missle Defense College, Air Force Engineering University, Xi'an 710051, China
    2. Department of Basic Course, Engineering University of Chinese Armed Police Force, Xi'an, 710086, China
  • Received:2020-12-01 Online:2022-04-01 Published:2022-04-01
  • Contact: Darong HUANG

摘要:

在逆合成孔径雷达(inverse synthetic aperture radar, ISAR)成像过程中, 目标为规避雷达照射通常会进行机动, 导致回波包络产生剧烈弯曲, 同时加剧回波相位变化的复杂性, 大大提升了平动补偿的难度。为了实现对机动目标回波进行准确稳定的平动补偿, 提出一种基于吕氏分布(Lv’ s distribution, LVD)的参数化平动补偿方法。首先将机动目标回波信号建模为多项式相位信号, 利用相位差分对回波能量进行聚集, 然后采用LVD和最小图像熵准则估计信号参数, 最后构造补偿函数对回波的包络和相位误差进行同时补偿。实测数据实验证明了所提方法的有效性、优越性和低信噪比环境下的稳定性。

关键词: 逆合成孔径雷达, 平动补偿, 多项式相位信号, 吕氏分布

Abstract:

In the imaging process of inverse synthetic aperture radar (ISAR), the target usually maneuver to avoid radar exposure, which will cause the echo envelope to be severely curved. At the same time, it will aggravate the complexity of the echo phase change, which greatly improves the difficulty of translational compensation. In order to achieve accurate and stable translational compensation for maneuvering target echo, a parametric translational compensation method based on Lv's distribution (LVD) is proposed. Firstly, models the maneuvering target's echo is modeled as a polynomial phase signal, the phase difference is used to gather the echo energy. Then, the LVD and the minimum image entropy criterion are adopted to estimate the translational parameters. Finally, the compensation functions are founded to simultaneously compensate the envelope and phase errors of the echo. Experiments with measured data prove the effectiveness, superiority and stability of the proposed method under low signal to noise ratio environments.

Key words: inverse synthetic aperture radar (ISAR), translational compensation, polynomial phase signal, Lv's distribution (LVD)

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