随天线扫描呈时变性的强地杂波是影响机场跑道异物检测的主要原因之一,传统的杂波图恒虚警检测方法在处理非高斯分布杂波时目标检测能力很差。文中提出一种双参数杂波图恒虚警率(CFAR)检测方法,首先分析了跑道场景和雷达系统特性,根据调频连续波雷达体制建立了接收信号模型;然后通过非相参积累、双参数估计、一阶递归滤波等处理,对每次扫描测量值的样本均值和样本方差分别进行时域迭代平均,获得检测门限阈值,实现了对非高斯背景杂波中跑道异物的CFAR检测;最后进一步分析了影响检测性能的主要参数。

Along with antenna scanning, strong time-varying ground clutter is one of main reasons for foreign objects debris (FOD) detection on airport runway. Traditional clutter-map constant false alarm rate (CFAR) detection method has poor ability to detect targets in non-Gaussian clutter. To solve this problem, a method of bi-parametric clutter-map CFAR detection is proposed in this paper. Model of received signal of frequency modulation continue wave (FMCW) radar based on the scenario of the airport runways and characteristics of radar system is analyzed, and the iteration average value in time-domain of each scan is obtained by the use of non-coherent integration, parameters estimation and loop filter, etc. Finally, further analysis of the main factors which affect detection performance of this method is studied.

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