Abstract: Heavy land clutter with antenna scan is the main interference for Foreign Object Debris (FOD) detection. However, traditional Constant False Alarm Rate (CFAR) in space-domain is ineffective to detect targets on runways. To solve this problem, a cell-average clutter-map CFAR was proposed. First of all, an echo model based on the characteristics of FOD surveillance radar system was built. Then, the range-bearing two-dimensional CFAR detection could be realized by using clutter-map cells dividing, cell averaging and recursive filtering. Further analysis of the main factors that affected the detection performance of this method was studied in the end. The simulation results show that, the proposed algorithm can effectively detect the weak target and obtain high detection probability with a low signal-to-clutter ratio.

Key words: Foreign Object Debris (FOD) detection on runways, frequency modulate continuous wave, cell-average clutter-map, recursive filtering

摘要： 随天线扫描平稳变化的强地杂波是实现机场跑道异物(FOD)检测的主要干扰，传统的空域恒虚警率(CFAR)处理不能有效地检测到目标，针对上述问题，提出了一种单元平均杂波图恒虚警率检测算法。首先基于系统特性和跑道环境建立了回波信号模型；然后通过杂波图划分、单元平均、递归滤波等处理技术，实现了距离—方位二维恒虚警率检测；最后进一步分析影响检测性能的主要参数。仿真结果表明，所提算法在低信杂比背景下能有效检测到弱目标，并获得较高的检测概率。

关键词: 机场跑道异物检测, 调频连续波, 单元平均杂波图, 递归滤波