基于K-L散度和散度均值的改进矩阵CFAR检测器
发布时间：2019-03-08 10:15
【摘要】：传统雷达中一般是通过FFT处理接CFAR(constant false alarm rate)来实现目标检测的,该方法面临以下问题:(1)当数据长度较短时,FFT多普勒分辨率较低,会出现多普勒跨越损失;(2)在杂波背景下,杂波谱展宽会使得杂波能量分散到目标所在位置;(3)对于频域扩展目标,单频率通道检测会损失较多目标回波能量.本文分别利用K-L(Kullback-Leibler)散度和散度均值替代基本矩阵CFAR检测器中的测地线距离和黎曼均值,提出了一种改进的矩阵CFAR检测器,较好地克服了以上三个问题,并相比基本矩阵CFAR检测器具有更优的检测和恒虚警性能,减小了计算量.最后通过仿真实验进行了性能分析验证,取得了较好效果.
[Abstract]:In traditional radar, target detection is usually realized by connecting CFAR (constant false alarm rate) with FFT processing. This method faces the following problems: (1) when the data length is short, the Doppler resolution of FFT is low, and the loss of Doppler span will occur; (2) under the clutter background, the clutter energy will be dispersed to the target position when the clutter spectrum is broadened; (3) for the frequency domain spread target, the single frequency channel detection will lose more target echo energy. In this paper, an improved matrix Kullback-Leibler detector is proposed by replacing the geodesic distance and the Riemann mean in the basic matrix CFAR detector by using the divergence and the mean value of the divergence respectively. The improved matrix CFAR detector overcomes the three problems mentioned above. Compared with the basic matrix CFAR detector, it has better detection and CFAR performance, and reduces the computational complexity. Finally, the performance analysis and verification are carried out through the simulation experiment, and the good results are obtained.
【作者单位】： 空军预警学院三系重点实验室;
【基金】：国家自然科学基金(批准号:61179014,61302193)资助项目
【分类号】：TN95
[Abstract]:In traditional radar, target detection is usually realized by connecting CFAR (constant false alarm rate) with FFT processing. This method faces the following problems: (1) when the data length is short, the Doppler resolution of FFT is low, and the loss of Doppler span will occur; (2) under the clutter background, the clutter energy will be dispersed to the target position when the clutter spectrum is broadened; (3) for the frequency domain spread target, the single frequency channel detection will lose more target echo energy. In this paper, an improved matrix Kullback-Leibler detector is proposed by replacing the geodesic distance and the Riemann mean in the basic matrix CFAR detector by using the divergence and the mean value of the divergence respectively. The improved matrix CFAR detector overcomes the three problems mentioned above. Compared with the basic matrix CFAR detector, it has better detection and CFAR performance, and reduces the computational complexity. Finally, the performance analysis and verification are carried out through the simulation experiment, and the good results are obtained.
【作者单位】： 空军预警学院三系重点实验室;
【基金】：国家自然科学基金(批准号:61179014,61302193)资助项目
【分类号】：TN95
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