穿墙雷达认知成像技术

发布时间：2018-02-24 18:32

本文关键词： 穿墙雷达认知成像环境参数估计波形调整鬼影抑制　出处：《国防科学技术大学》2014年硕士论文　论文类型：学位论文

【摘要】：穿墙雷达能够穿透墙壁等障碍物探测墙后的隐蔽目标。由于墙体的存在,墙后动目标面临低信杂比、低信噪比以及鬼影干扰等问题,传统穿墙成像处理方法难以取得理想效果。本文针对基于步进频超宽带信号体制的多发射多接收穿墙雷达提出了认知成像处理方法,在传统方法基础上引入环境感知和波形调整两个认知处理环节,校正了传统成像处理结果中墙后目标的位置偏移和散焦,提高了墙后目标的信杂比,抑制了鬼影干扰。本文主要工作如下:1、针对传统成像探测方法存在目标定位误差、图像散焦及鬼影干扰等问题,提出了基于认知雷达理论的穿墙雷达认知成像处理框架。2、建立了扩展穿墙成像模型和相应的环境参数估计方法,考虑了天线阵列与墙面非严格平行的情况,为提高墙后目标成像质量提供支撑。3、提出了基于扩展穿墙成像模型的穿墙成像算法,能够获得墙体坐标系下定位精度高、聚焦质量好的雷达图像。4、基于信杂比曲线建立了穿墙雷达发射波形调整方法,给出基于目标状态检测的信杂比曲线估计方法,实现了优化信杂比和成像效果的兼顾。本文提出的穿墙雷达认知成像处理框架及其环境感知和波形调整方法均利用仿真和实测数据验证了其有效性,为认知成像技术的实用化奠定了基础。
[Abstract]:Radar can penetrate walls and other obstacles detecting concealed targets behind the wall. The wall, wall after moving target under low SNR, low SNR and ghost interference, traditional wall imaging processing method is difficult to obtain satisfactory results. In this paper through multi receiver multi transmitting UWB stepped frequency signal system based on the proposed cognitive radar imaging processing method, the introduction of environmental perception and waveform based on traditional method to adjust the two cognitive processing link, correcting the position offset after the wall target processing results in traditional imaging and defocus, improve the wall target SNR, suppress ghost interference. The main work is as follows: 1, aiming at the target location error detection method of traditional imaging, image defocusing and ghost interference, is proposed for cognitive.2 radar imaging of cognitive processing framework based on the theory of radar, the establishment of The extended wall imaging model and the corresponding environmental parameter estimation method, considering the non strict parallel antenna array and the wall, to provide target imaging to improve the quality of the wall supporting.3, proposed the twi algorithm extended through wall imaging based on model, can obtain the precision positioning wall coordinates, radar image focusing.4 good quality the SNR curve established a method of adjusting waveform emission through wall radar based on target detection method based on SNR curve estimation method, realize the optimization of both SNR and imaging results. The cognitive framework and through wall radar imaging environment perception and waveform adjustment method by simulation and experimental data to verify its validity, laid the foundation for cognitive imaging applications.

【学位授予单位】：国防科学技术大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.52

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