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弹箭与制导学报 >

2019 , Vol. 39 >Issue 6: 55 - 58

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2019.06.013

一种低信噪比ISAR成像算法

  • 罗文茂 1 ,
  • 张业荣 2
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  • 1 南京信息职业技术学院通信学院, 南京 210023
  • 2 南京邮电大学电子与光学工程学院, 南京 210023

罗文茂(1975-),男,四川人,副教授,硕士,研究方向:雷达信号处理。

收稿日期: 2019-01-14

  网络出版日期: 2025-05-12

基金资助

南京信息职业技术学院自然科学基金(YK20180501)

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An ISAR Imaging Algorithm with Low SNR

  • LUO Wenmao 1 ,
  • ZHANG Yerong 2
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  • 1 Department of Telecommunication, Nanjing College of Information Technology, Nanjing 210023, China
  • 2 College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Received date: 2019-01-14

  Online published: 2025-05-12

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摘要

针对逆合成孔径雷达(ISAR)在低信噪比下无法进行有效运动补偿的问题,提出了一种低信噪比机动目标成像算法。该算法将Keystone变换后的目标距离像排列为一维向量,并通过极大似然小波阈值去噪的方法,解决了目标距离像无法直接去噪的问题,进而提高了低信噪比下目标运动参数估计的精度以实现有效的运动补偿。从仿真结果可以看出,该算法能在目标距离像被噪声淹没的情况下获得机动目标的准确ISAR像。

关键词： ISAR; 小波; Keystone变换; 运动补偿; 雷达成像

本文引用格式

罗文茂 , 张业荣 . 一种低信噪比ISAR成像算法[J]. 弹箭与制导学报, 2019 , 39(6) : 55 -58 . DOI: 10.15892/j.cnki.djzdxb.2019.06.013

Abstract

Aiming at the problem that inverse synthetic aperture radar (ISAR) can't compensate the target's motion effectively under low signal-to-noise ratio (SNR), a low SNR maneuvering target imaging algorithm is proposed.The algorithm arranges the target range profiles after keystone transform into one-dimensional vector, and solves the problem that the target range profiles cannot be directly de-noised by using maximum likelihood wavelet threshold de-noising method, thus improve the accuracy of target motion parameters estimation under low SNR to achieve effective motion compensation.The simulation results show that the algorithm can realize ISAR imaging of maneuvering targets when the target range profiles are submerged by noise.

Key words： ISAR; wavelet; Keystone transformation; motion compensation; radar imaging

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参考文献

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