强运动杂波环境下弱小无人机目标检测方法  

A detection method for small UAVs in the strong moving clutter environment

作　　者：吴仁彪[1] 王建刚 王晓亮[1] 何炜琨[1] WU Renbiao;WANG Jiangang;WANG Xiaoliang;HE Weikun(Tianjin Key Laboratory for Advanced Signal Processing,CAUC,Tianjin 300300,China)

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室,天津300300

出　　处：《中国民航大学学报》2023年第1期22-29,共8页Journal of Civil Aviation University of China

基　　金：天津市研究生科研创新项目(2019YJSS071)

摘　　要：针对机场环境下雷达检测无人机目标时受到民航飞机等强运动杂波的影响,导致弱小无人机目标的检测概率降低的问题,本文利用新型无人机监视雷达能够获得长相干脉冲间隔的特点,提出了一种抑制强运动杂波以检测弱小无人机目标的方法。首先检测强运动杂波,通过基于重排谱图的谱中心补偿法准确估计并补偿其频谱中心至零频位置,然后采用自适应动目标显示滤波器抑制强运动杂波,并进一步使用恒虚警率检测方法检测弱小无人机目标。实验结果表明:当弱小无人机目标回波被强运动杂波干扰时,本文方法较目前性能较好的奇异值分解重构方法具有更高的目标检测概率和更低的错误检测概率。Affected by the strong moving clutter such as the civil aircraft in the airport environment,the detection probability of radar for the weak and small unmanned aerial vehicle(UAV)will decrease.A method of detecting the small UAV target by suppressing strong moving clutter is proposed to cope with the problem mentioned above.The method employs the feature that the new UAV surveillance radar can obtain long coherent pulse interval.Firstly,the strong moving clutter is detected,the spectral center compensation method based on reassigned spectrogram is adopted to accurately estimate the spectral center of the strong moving clutter and compensate its spectrum center to zero frequency position.Then,the strong moving clutter is suppressed by adaptive moving target indication filter and the weak and small UAV is further detected by the constant false alarm rate detection method.The experiment results show that the proposed method has higher target detection probability and lower error detection rate compared with current better-performanced singular value decomposition reconstruction method when the weak and small UAV target echo is disturbed by the strong moving clutter.

关 键 词：目标检测 杂波抑制 时频分析 谱中心补偿 动目标显示滤波器 

分 类 号：V243.2[航空宇航科学与技术—飞行器设计] TN957[电子电信—信号与信息处理]