系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (3): 827-833.doi: 10.12305/j.issn.1001-506X.2022.03.15

• 传感器与信号处理 • 上一篇    下一篇

基于像素向量消除的穿墙雷达杂波抑制算法

王明泽1, 李蔚2, 马俊伟3, 李相平1,*   

  1. 1. 海军航空大学岸防兵学院, 山东 烟台 264001
    2. 海军航空大学航空作战勤务学院, 山东 烟台 264001
    3. 海军航空大学航空保障专业兵训练基地, 山东 青岛 266109
  • 收稿日期:2021-03-29 出版日期:2022-03-01 发布日期:2022-03-10
  • 通讯作者: 李相平
  • 作者简介:王明泽(1997—), 男, 硕士研究生, 主要研究方向为穿墙雷达成像处理技术|李蔚(1990—), 女, 讲师, 硕士, 主要研究方向为电子对抗技术|马俊伟(1989—), 男, 助理工程师, 硕士, 主要研究方向为控制科学与工程|李相平(1963—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为精确制导技术与信息通信
  • 基金资助:
    山东省自然科学基金(ZR2020MF090)

Clutter suppression algorithm based on pixel vector elimination in through-the-wall radar

Mingze WANG1, Wei LI2, Junwei MA3, Xiangping LI1,*   

  1. 1. Coast Guard College, Naval Aviation University, Yantai 264001, China
    2. Air Combat Service College, Naval Aviation University, Yantai 264001, China
    3. Aviation Support Professional Training Base, Naval Aviation University, Qingdao 266109, China
  • Received:2021-03-29 Online:2022-03-01 Published:2022-03-10
  • Contact: Xiangping LI

摘要:

常见的回波域算法在处理穿墙成像中的杂波抑制问题时, 杂波滤除不够彻底, 致使信杂比和目标准确性较低, 严重影响目标检测与识别等后续处理。为解决这一问题, 从图像域中寻找杂波像素和目标像素的区分特征, 以离散系数实现对像素向量离散程度的定量化, 以图像强度和剩余像素均值构建杂波抑制的评价体系, 通过主杂波抑制和目标聚焦依次消除离散系数较大的杂波像素向量和背景像素向量, 从而得到最终成像结果。仿真结果表明, 所提算法具有良好的有效性和鲁棒性, 能显著提升信杂比, 使目标成像清晰准确。

关键词: 穿墙成像雷达, 杂波抑制, 图像域, 离散系数, 像素向量消除

Abstract:

When the common echo domain algorithms are used to suppress clutter in through-the-wall imaging, the clutter filtering is not thorough enough, resulting in the low signal to clutter ratio and target accuracy, which seriously affects the subsequent processing of target detection and recognition. To solve this problem, the distinguishing features of clutter pixels and target pixels are found in the image domain, and their discrete degree is quantified by coefficient of variation. The evaluation system of clutter suppression is constructed by image intensity and residual pixel mean. The clutter and the background pixel vectors with larger coefficient of variation are eliminated successively by main clutter suppression and target focusing, so as to obtain the final imaging result. Simulation results show that the proposed algorithm has good effectiveness and robustness, can significantly enhance the signal to clutter ratio, and make target imaging clear and accurate.

Key words: through-the-wall imaging radar, clutter suppression, image domain, coefficient of variation, pixel vector elimination

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