频率分集阵列(Frequency Diverse Array,简称FDA)在埋体管线的探测识别与成像中具有很大优势,利用其灵活的波束控制和信号处理性能,能够摆脱传统阵列发射信号限制,灵活接收和处理复杂信号.通过发出窄带信号进而获得宽带信号探测参数,大大降低操作成本,实现高效率、高精度、高性价比三维立体成像.现如今埋体管线探测成为城市发展中不可避免的痛点,小埋藏体检测成像更是难点问题.文章提出一种基于多进多出技术(Multiple-Input Multiple-Output,简称MIMO)的频率分集阵列三维合成孔径雷达(3D-FDA-MAR)成像方法,并将MIMO阵列引入频率分集阵列实现三维成像,建立了MIMO-FDA三维形貌成像模型.该多进多出频率分集阵列在三维空间中能够随平台运动而运动,在沿航向处得到综合孔径,根据切航向阵列能够获得仿真频率分集阵列平面,从而得到目标物成像的三维立体效果,实现精准定位,全空间透视探测,智能3D成像,小埋藏体的精准检测诊断.
Abstract
Frequency Diverse Array(FDA)has great advantages in the detection,identification and imaging of buried pipelines.By using its flexible beam control and signal processing performance,it can get rid of the restrictions of traditional array transmitting signals and flexibly receive and process complex signals.By sending narrowband signals and obtaining broadband signal detection performance,it greatly reduces the operation cost and realizes high efficiency,high precision and cost-effective three-dimensional imaging.Nowadays,buried pipeline detection has become an inevitable pain point in social development,and the detection and imaging of small buried bodies is more difficult.An imaging method of frequency diversity array three-dimensional synthetic aperture radar(3D-FDA-MAR)based on multiple-input multiple-output(MIMO)technology is proposed.MIMO array is introduced into frequency diversity array to realize three-dimensional imaging,and the MIMO-FDA three-dimensional topographic imaging model is established.The multi-input multi-output frequency diversity array can move with the platform movement in three-dimensional space,and obtain the comprehensive aperture along the course.According to the tangential course array,the simulated frequency diversity array plane can be obtained,so as to obtain the three-dimensional imaging ability of the target.It can achieve accurate positioning,full-space perspective detection,intelligent 3D imaging,and accurate detection and diagnosis of small buried bodies.
关键词
频率分集阵列/三维成像/埋体管线/合成孔径雷达/多进多出/压缩感知成像算法
Key words
frequency diverse array/three-dimensional imaging/buried pipeline/synthetic aperture radar/multiple-input multiple-output/compressed sensing