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基于极化联合特征值的雷达弱小目标检测方法

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针对海杂波背景下雷达弱小目标检测问题,提出了一种基于极化联合特征值的雷达弱小目标检测方法.该方法利用多极化通道回波数据计算极化相干矩阵的最大特征值,然后将待检测单元的最大特征值与参考单元最大特征值、最小特征值、算数平均值和几何平均值的算数平均之比分别作为检验统计量实现检验判决.仿真和实测数据处理结果表明:基于极化联合特征值的雷达弱小目标检测方法较基于特征值的检测方法性能提高2 dB,较极化检测最优滤波器性能提高1.5 dB,较功率最大综合检测方法、SPAN检测方法性能提高5 dB,极化联合最大特征值-几何平均方法综合检测效果最好.
Radar Weak Target Detection Method Based on Polarization Joint Eigenvalues
A radar weak target detection method based on polarization joint eigenvalues is proposed to address the issue of detecting weak targets in sea clutter background.This method utilizes multi-polarization channel echo data to calculate the maximum eigenvalue of the polarization coherence matrix.Then,the ratio between the maximum eigenva-lue of the target cell and the arithmetic average of the maximum eigenvalue,minimum eigenvalue,arithmetic mean,and geometric mean of the reference cell is used as a test statistic for decision-making.Simulation and experimental results of data processing demonstrate that the radar weak target detection method based on polarization joint eigenvalues out-performs the eigenvalue-based detection method by 2 dB,the polarimetric detection optimization filter by 1.5 dB,and the power maximization synthesis detection method and the span detection method by 5 dB.The polarimetric joint maxi-mum eigenvalue-geometric mean method achieves the best overall detection performance.

radar target detectionpolarization coherent matrixcovariance matrixeigenvalue

王威、杨勇、韩静雯

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国防科技大学电子科学学院,湖南长沙 410073

雷达目标检测 极化相干矩阵 协方差矩阵 特征值

2024

雷达科学与技术
中国电子科技集团公司第38研究所 中国电子学会无线电定位技术分会

雷达科学与技术

CSTPCD北大核心
影响因子:0.665
ISSN:1672-2337
年,卷(期):2024.22(1)
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