针对回波数据异常时的雷达前视超分辨快速成像方法

TN957; 机载扫描雷达前视成像可广泛应用于态势感知、自主导航和地形跟随.在雷达扫描过程中受到不经意的电磁脉冲干扰或设备性能异常等影响时,雷达回波数据出现异常值.已有的超分辨方法可以抑制回波中的异常值、提高角度分辨率,但没有考虑计算实时性问题.针对上述问题,该文提出了一种机载雷达超分辨方法实现回波数据异常时的快速前视成像.为了更好地拟合回波噪声,引入对异常值更加鲁棒的学生t分布,并采用期望最大化方法对成像参数进行估计.受截断奇异值分解方法的启发,将截断的酉矩阵引入目标散射系数的估计公式中.通过矩阵变换降低了求逆矩阵的尺寸,从而降低了参数估计的计算复杂度.仿真结果表明该文提出加速方法可以用更短...

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Published in雷达学报 Vol. 13; no. 3; pp. 667 - 681
Main Authors 李维新, 李明, 陈洪猛, 左磊, 王东, 杨磊, 辛东金
Format Journal Article
LanguageChinese
Published 济南大学信息科学与工程学院 济南 250022%西安电子科技大学雷达信号处理国家重点实验室 西安 710071%北京无线电测量研究所 北京 100854 01.06.2024
Subjects
Forward-looking imaging
前视成像
Super-resolution
Matrix transformation
矩阵变换
数据异常
超分辨
Abnormal echo data
Online AccessGet full text
ISSN2095-283X
DOI10.12000/JR23209

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Abstract TN957; 机载扫描雷达前视成像可广泛应用于态势感知、自主导航和地形跟随.在雷达扫描过程中受到不经意的电磁脉冲干扰或设备性能异常等影响时,雷达回波数据出现异常值.已有的超分辨方法可以抑制回波中的异常值、提高角度分辨率,但没有考虑计算实时性问题.针对上述问题,该文提出了一种机载雷达超分辨方法实现回波数据异常时的快速前视成像.为了更好地拟合回波噪声,引入对异常值更加鲁棒的学生t分布,并采用期望最大化方法对成像参数进行估计.受截断奇异值分解方法的启发,将截断的酉矩阵引入目标散射系数的估计公式中.通过矩阵变换降低了求逆矩阵的尺寸,从而降低了参数估计的计算复杂度.仿真结果表明该文提出加速方法可以用更短的时间提高前视成像的角度分辨率,抑制回波数据中的异常值.
AbstractList TN957; 机载扫描雷达前视成像可广泛应用于态势感知、自主导航和地形跟随.在雷达扫描过程中受到不经意的电磁脉冲干扰或设备性能异常等影响时,雷达回波数据出现异常值.已有的超分辨方法可以抑制回波中的异常值、提高角度分辨率,但没有考虑计算实时性问题.针对上述问题,该文提出了一种机载雷达超分辨方法实现回波数据异常时的快速前视成像.为了更好地拟合回波噪声,引入对异常值更加鲁棒的学生t分布,并采用期望最大化方法对成像参数进行估计.受截断奇异值分解方法的启发,将截断的酉矩阵引入目标散射系数的估计公式中.通过矩阵变换降低了求逆矩阵的尺寸,从而降低了参数估计的计算复杂度.仿真结果表明该文提出加速方法可以用更短的时间提高前视成像的角度分辨率,抑制回波数据中的异常值.
Abstract_FL Forward-looking imaging of airborne scanning radar is widely used in situation awareness,autonomous navigation and terrain following.When the radar is influenced by unintentional temporally sporadic electromagnetic interference or abnormal equipment performance,the echo signal contains outliers.Existing super-resolution methods can suppress outliers and improve azimuth resolution,but the real-time computing problem is not considered.In this study,we propose an airborne scanning radar super-resolution method to achieve fast forward-looking imaging when echo data are abnormal.First,we propose using the Student-t distribution to model noise.Then,the expectation-maximization method is used to estimate the parameters.Inspired by the truncated singular value decomposition method,we introduce the truncated unitary matrix into the estimation formula of the target scattering coefficient.Finally,the size of inverse matrix is reduced and the computational complexity of parameter estimation is reduced through matrix transformation.The simulation results show that the proposed method can improve the azimuth resolution of forward-looking imaging in a shorter time,and suppress outliers in echo data.
Author 辛东金
陈洪猛
李维新
李明
杨磊
左磊
王东
AuthorAffiliation 济南大学信息科学与工程学院 济南 250022%西安电子科技大学雷达信号处理国家重点实验室 西安 710071%北京无线电测量研究所 北京 100854
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Author_FL LI Weixin
ZUO Lei
XIN Dongjin
LI Ming
CHEN Hongmeng
WANG Dong
YANG Lei
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Keywords Forward-looking imaging
前视成像
Super-resolution
Matrix transformation
矩阵变换
数据异常
超分辨
Abnormal echo data
Language Chinese
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Snippet TN957; 机载扫描雷达前视成像可广泛应用于态势感知、自主导航和地形跟随.在雷达扫描过程中受到不经意的电磁脉冲干扰或设备性能异常等影响时,雷达回波数据出现异常值.已有的...
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Title 针对回波数据异常时的雷达前视超分辨快速成像方法
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