系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (6): 1843-1854.doi: 10.12305/j.issn.1001-506X.2025.06.13

• 传感器与信号处理 • 上一篇    下一篇

空间群目标ISAR成像与检测方法

贾竣皓, 陈学斌, 李璋峰, 叶春茂   

  1. 北京无线电测量研究所, 北京 100854
  • 收稿日期:2023-10-26 出版日期:2025-06-25 发布日期:2025-07-09
  • 通讯作者: 叶春茂
  • 作者简介:贾竣皓 (1999—), 男, 硕士研究生, 主要研究方向为雷达成像
    陈学斌 (1995—), 男, 工程师, 博士, 主要研究方向为宽带雷达识别特征获取、ISAR成像
    李璋峰 (1989—), 男, 高级工程师, 博士, 主要研究方向为雷达微多普勒效应、雷达目标识别
    叶春茂 (1981—), 男, 研究员, 博士, 主要研究方向为雷达系统总体、雷达成像与识别

ISAR imaging and detection method for space group target

Junhao JIA, Xuebin CHEN, Zhangfeng LI, Chunmao YE   

  1. Beijing Institute of Radio Measurement, Beijing 100854, China
  • Received:2023-10-26 Online:2025-06-25 Published:2025-07-09
  • Contact: Chunmao YE

摘要:

应用窄带逆合成孔径雷达(inverse synthetic aperture radar, ISAR)成像处理方法有助于空间群目标的精确检测。然而, 由于群目标运动状态存在差异, 成像结果可能存在较严重的模糊, 进而限制对群内目标检测的能力。为此, 针对空间群目标提出一种基于ISAR处理架构的场景成像及目标检测方法。首先, 基于运动特征一致性关联, 从不同距离单元提取出Chirplet分量, 确保目标与分量间的对应关系。然后, 通过建立代价函数实现逐个目标解速度模糊, 获得目标运动参数有效估计。最后, 数值仿真的实验结果验证了所提方法的有效性以及对群目标检测性能的提升效果。

关键词: 窄带逆合成孔径雷达成像, 群目标检测, Chirplet分量关联, 速度模糊, 参数化平动补偿

Abstract:

The application of narrowband inverse synthetic aperture radar (ISAR)imaging processing methods contributes to the precise detection of space group target. However, due to variations in the motion states of group target, the imaging results may exhibit significant blurring, thereby limiting the capability to detect targets within the group. To address the above problem, a scenario imaging and target detection method for space group target based on ISAR processing framework is presented. Initially, Chirplet components extracted from different range cells based on motion feature consistency association ensure the correspondence between the target and its components. Subsequently, by establishing a cost function, individual target velocity deblurring is achieved, providing effective estimation of target motion parameters. Finally, experimental results from numerical simulations prove the effectiveness of the proposed method and its enhancement for group target detection performance.

Key words: narrowband inverse synthetic aperture radar (ISAR) imaging, group target detection, Chirplet component correlation, velocity blurring, parameterized motion compensation

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