【作者】 马源斌；

【导师】 黄敬雄；

【作者基本信息】 深圳大学 ， 信息与通信工程， 2017， 硕士

【摘要】 作为机载雷达实现运动目标检测的首要任务,杂波抑制一直是机载雷达研究领域的重要课题。而空时自适应处理(Space-time Adaptive Processing,STAP)技术作为机载雷达实现杂波抑制和动目标检测的关键技术成为雷达领域的研究热点。本文以机载雷达杂波抑制为背景,对基于互质空时压缩采样的机载雷达杂波抑制技术进行了研究,论文的主要工作内容如下:1)研究了空时互质采样获取方式,这种方式减少了脉冲发射个数和布阵的阵元天线个数,降低了雷达系统复杂性和成本,提高了雷达系统时间维的复用能力和雷达系统的电子抗干扰(Electronic Counter-countermeasures,ECCM)能力。2)将互质空时压缩采样引入机载雷达杂波抑制中,建立了空时互质信号模型和空时互质杂波稀疏模型,研究了基于互质采样的直接空时自适应处理算法和基于互质采样的稀疏恢复空时自适应处理算法,仿真实验表明:相比于同阵元个数和脉冲个数的传统机载雷达能够实现较优的低速目标探测。3)为了充分利用互质配置结构提供的空时自由度,提出了基于互质虚拟快拍空时自适应处理算法。首先,分析了虚拟空时快拍的构造过程,建立了样本协方差矩阵与虚拟脉冲和虚拟阵列之间的联系。然后,对构造的虚拟空时快拍进行平滑处理得到虚拟的杂波加噪声协方差矩阵。最后,利用估计的虚拟杂波加噪声协方差矩阵代替原有的样本协方差矩阵来设计空时滤波器,从而实现杂波抑制。仿真实验表明:该算法能够有效提升系统抑制杂波的能力。本文将互质空时压缩采样引入机载雷达杂波抑制技术中,降低了系统复杂性和成本,为实现重量轻,体积小,成本低,能耗低的机载雷达提供了技术支撑。更多还原

【Abstract】 As the primary task to detect moving targets of airborne radar,clutter suppression plays an important role in the field of airborne radar.Meanwhile,space-time adaptive processing(STAP)technology has become a research focus in the field of radar since it is the key technology for clutter suppression and detection of moving targets.With the clutter suppression research as the background,this paper will focus on the research of airborne radar clutter suppression technology which is based on coprime space-time compressive sampling.The main research processes are as follows:1)This paper has studied the way to achieve space-time coprime sampling way,which can reduce the number of the transmitting pulse and antenna array,lower the complexity and cost of the radar system,and improve the reuse ability of the time dimension and capability of electronic count-countermeasures(ECCM)for the radar system.2)The research has introduced the coprime space-time compressive sampling into STAP technology,built the space-time coprime signal model and a space-time coprime clutter sparse model,and studied the directly STAP algorithm and sparse recovery STAP algorithm,both of which are based on coprime sampling.The simulation results show that compared with the same number of the pulse and antenna array of the traditional airborne radar,coprime sampling can achieve a better low speed of target detection.3)In order to make full use of the space-time degrees of freedom(DOFs)provided by the coprime configuration structure,the paper has proposed a STAP algorithm based on coprime virtual snapshot.First,the paper has analyzed the construction process of virtual space-time snapshot,and created the connection between the sample covariance matrix and virtual pulse and virtual array.Second,the virtual clutter plus noise covariance matrix is produced by the smoothing processing of the virtual space-time snapshot.Third,the research has replaced the original sample covariance matrix with the estimated virtual clutter plus noise covariance matrix to design the space-time filter,and thus to achieve the clutter suppression.Simulation results show that this STAP algorithm can effectively improve the system’s ability to suppress clutter.The research introduces coprime space-time compressive sampling into airborne radar clutter suppression technology,which can lower the system’s complexity and cost,and will provide the technical support for the research of a lighter,smaller,lower-cost,and less energy consumption airborne radar.更多还原