CFAR for Passive Radar Based on Dynamic Ordered Matrix
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摘要: 外辐射源雷达采用不可控的第三方辐射源，其电磁传播条件复杂，尤其是在低空目标探测中，检测性能极大地受到杂波特性的影响，使得传统恒虚警算法性能明显下降。为了改善检测性能，该文提出一种基于雷达杂波空间划分的动态有序矩阵恒虚警检测算法(DOM-CFAR)。该算法将杂波空间从距离和多普勒维进行划分，构造为有序矩阵，再根据背景杂波变化进行动态极值替换、提取杂波估计中值用以计算检测阈值，从而使得检测算法阈值可动态适应杂波功率变化。仿真和实测结果表明，该算法可以在均匀杂波、多目标和杂波边缘等复杂情况下保持稳定的检测性能。Abstract: Passive radar uses third party radiation source, which is uncontrollable. Due to the complicated electromagnetic propagation conditions, especially in a low altitude target detection, the detection performance of the radar is greatly affected by clutters, leading to significant degradation of the performance of traditional constant false alarm algorithm. In order to improve the detection performance, a Dynamic Ordered Matrix Constant False Alarm Rate (DOM-CFAR) algorithm based on radar clutter space partition is proposed. In this algorithm, an ordered matrix is constructed after dividing the clutter space from distance and Doppler dimension. Then the dynamic extreme value is replaced according to the background clutter change and the estimated median value of clutter is extracted so as to calculate the detection threshold. This algorithm makes the threshold value of detection can dynamically adapt to the clutter power change. The simulation and measurement results show that the algorithm can maintain excellent detection performance under the complex environment with uniform clutter, multi-target and clutter edge.
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Key words:
- Target detection /
- Clutter matrix /
- Clutter map /
- Constant False Alarm Rate (CFAR)
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表 1 算法复杂度及耗时比较
算法名称 空间复杂度 运算复杂度 串行耗时(s) 并行耗时(s) CA 1 MN 51.337 2.776 SO 1 MN 73.588 3.260 GO 1 MN 75.176 3.289 OS 1 MNlgN 449.651 7.632 CM M M 0.087 0.073 DOM MK MK 88.490 5.560 
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表 2 实测的检测概率与虚警概率
CFAR CA SO GO OS CM迭代次数 DOM迭代次数 10 100 200 400 10 100 200 400 检测概率(%) 72.4 51.3 78.8 86.8 1.3 62.1 76.4 93.0 88.0 98.3 98.1 98.2 虚警概率(10–5) 2.68 9.58 1.93 22.06 0.13 2.93 4.25 4.45 20.93 5.08 2.85 1.28
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