一种距离扩展目标的检测方法

针对宽带雷达中距离扩展目标的回波特性,提出了一种对高分辨距离像数据进行目标检测的新算法.先用窗函数估计目标的位置和噪声强度,并采用模糊门限映射对目标数据进行转换,再假设目标匀速平动对各次回波进行包络对齐,最后在对目标的导向矢量进行估计的基础上得到基于模糊门限映射的广义似然比(FTMD-GLRT)检测算子,并简要分析了该方法的恒虚警率性.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,FTMD-GLRT算法检测性能有明显的提高,可有效地解决宽带雷达的目标检测问题.

A novel detection scheme for range-spread targets

A new detection scheme for range-spread broadband radar target using high-resolution range profiles (HRRP) is proposed. The location of the target and the noise power were estimated in a window function, and a fuzzy threshold map was used to refine the target data, then envelope alignment was carried out through the target moving with a constant velocity. Finally, the detector of fuzzy threshold map dependent generalized likelihood rate test (FTMD-GLRT) was derived based on the estimation of signal steering vector. Remarkably, the detection scheme ensures the constant false alarm rate (CFAR) property with respect to the unknown noise power. Experimental results of the measured data of three kinds of planes show that the proposed scheme achieves a visible performance improvement compared with the scatter density dependent generalized likelihood rate test (SDD-GLRT).