| 摘要: |
| 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。 |
| 关键词: 雷达目标检测 极化相干矩阵 协方差矩阵 特征值 |
| DOI：DOI:10.3969/j.issn.1672-2337.2024.01.008 |
| 分类号:TN957.51 |
| 基金项目: |
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| Radar Weak Target Detection Method Based on Polarization Joint Eigenvalues |
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WANG Wei， YANG Yong， HAN Jingwen
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College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
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| Abstract: |
| 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 outperforms 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 maximum eigenvalue?geometric mean method achieves the best overall detection performance. |
| Key words: radar target detection polarization coherent matrix covariance matrix eigenvalue |
