高分辨距离像数据的检测新方法

Novel detection method for HRRP data

针对宽带雷达多次回波间的距离单元走动问题,提出了一种对高分辨距离像数据进行目标检测的新算法.先用约束平移时延量的包络对齐法对各次回波进行对齐,再用窗函数估计目标的长度和位置,最后采用双迭代法对目标的导向矢量进行估计,得到最终的检测算子,并简要证明了该算法具有全局渐进收敛和恒虚警率的特性.两类飞机实测数据的实验结果表明,与基于散射点密度的广义似然比检测算法相比,当检测概率为80%时,本算法至少有1.4 dB的改善.

A novel detection method dealing with range walking for the broadband radar target using high resolution range profiles（HRRP） is proposed.The proposed detector,the iterative generalized likelihood rate test（iGLRT）,is derived by estimating the signal steering vector through a bi-iterative algorithm（BIA） after constraint range alignment and estimation of the length and position of the target.Furthermore,global convergence is analyzed and the constant false alarm rate（CFAR） property is proved.Finally,experimental results for measured data of two planes illustrate that the proposed algorithm leads to at least 1.4dB improvement for 80% detection possibility compared with the conventional scatter density dependent generalized likelihood rate test（SDD-GLRT）.