基于图信号处理的频控阵MIMO雷达动目标检测方法

FDA⁃MIMO radar moving target detection method based on graph signal processing

在复杂信号背景下,频控阵MIMO雷达受到杂波和噪声源的干扰,这极大地降低了其对微弱目标的检测性能。为了应对这一挑战,文中提出一种基于图信号处理的频控阵MIMO动目标检测方法。首先,利用MTI/MTD技术消除多普勒频移项的相位变化;然后构建了FDA-MIMO下的图信号模型,并利用回波信号的图傅里叶变换形式建立谱峰搜索响应函数;最终实现对动目标多普勒-距离-角度参数三维联合估计。仿真结果验证了所提方法在复杂信号环境下相较于经典MUSIC算法能够更准确地估计目标的参数信息,有效提升了微弱目标的检测性能。

Under the background of complex signals,FDA⁃MIMO radars are subjected to interference from clutter and noise sources,which greatly degrades their detection performance for dim targets.To cope with this challenge,a graph signal processing(GSP)based moving target detection method for FDA⁃MIMO is proposed.Firstly,the phase variation of Doppler frequency shift term is eliminated with MTI/MTD technique,and then the graph signal model based on FDA⁃MIMO is constructed,and the spectral peak search response function is established with the graph Fourier transform(GFT)of the echo signals,which finally achieves the three⁃dimensional joint estimation of Doppler⁃range⁃angle parameters for the moving targets.The simulation results verify that the proposed method is able to estimate the parameter information of the target more accurately in comparison with the classical MUSIC(multiple signal classification)algorithm under the complex signal environment,so the method improves the detection performance of dim targets effectively.