互质空时压缩采样机载雷达杂波抑制技术研究

发布时间：2018-05-17 03:18

本文选题：互质采样 + 压缩采样　；参考：《深圳大学》2017年硕士论文

【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。
[Abstract]:As the primary task of airborne radar to detect moving targets, clutter suppression has been an important subject in airborne radar research field. Space-time Adaptive processing (Space-time Adaptive processing) is a key technology in airborne radar for clutter suppression and moving target detection. In this paper, the airborne radar clutter suppression technology based on mutual-mass space-time compression sampling is studied in the background of airborne radar clutter suppression. The main work of this paper is as follows: 1) the acquisition method of space-time mutual mass sampling is studied. In this way, the number of pulse transmitters and the number of array element antennas are reduced, and the complexity and cost of radar system are reduced. The multiplexing ability of radar system time dimension and electronic anti-jamming electronic counter measurement ECCM capability of radar system are improved. 2) the mutual mass space-time compression sampling is introduced into airborne radar clutter suppression, and the space-time mutual-mass signal model and space-time mutual-mass clutter sparse model are established. The direct space-time adaptive processing algorithm based on mutual prime sampling and the sparse recovery space-time adaptive processing algorithm based on mutual prime sampling are studied. The simulation results show that compared with the conventional airborne radar with the same number of elements and pulses, the conventional airborne radar can achieve better low speed target detection. 3) in order to make full use of the space-time degree of freedom provided by the mutual-mass configuration structure, An adaptive processing algorithm based on mutual-quality virtual rapid-time processing is proposed. Firstly, the construction process of virtual space-time shot is analyzed, and the relationship between sample covariance matrix and virtual pulse and virtual array is established. Then, the virtual space-time beat is smoothed to obtain the virtual clutter and noise covariance matrix. Finally, the estimated virtual clutter and noise covariance matrix is used instead of the original sample covariance matrix to design the space-time filter to achieve clutter suppression. The simulation results show that the proposed algorithm can effectively improve the clutter suppression ability of the system. In this paper, the mutual mass space-time compression sampling is introduced into the clutter suppression technology of airborne radar, which reduces the complexity and cost of the system, and provides the technical support for the realization of airborne radar with light weight, small volume, low cost and low energy consumption.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN959.73

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