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MIMO雷达三维成像技术的研究与仿真 被引量:1

MIMO Radar Three-Dimensional Imaging Technology Research and Simulation
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摘要 在MIMO雷达成像的过程中,由于其杂波特性、波形设计以及空时自适应处理等存在的缺陷,使发射波形的自相关和互关性对雷达造成严重的影响,而在传统的雷达杂波抑制中采用的是二维联合处理,需要对距离依赖杂波进行补偿,不具有良好的收敛性能,导致成像精度和质量较差。提出基于三维虚拟现实的MIMO雷达成像技术,分析了MIMO雷达成像模型,采用匹配滤波器对去载频回波信号进行波形解相关滤波,将其分成若干信号,完成回波运动的补偿,去除平动干扰,以消除发射波形相关性对MIMO雷达成像的影响,再依据对相位的二维Fourier转换获取两个方向的方位分辨率,对于所有距离单元均沿XOY平面进行二维Fourier转换,获取目标的"距离-X方位-Y方位"三维立体像,将其映射至XOY平面、YOZ平面以及XOZ平面中,实现空时三维自适应处理,即可获取目标成像的三维图,实现MIMO雷达成像。仿真结果表明,所提方法具有很高的精度及图像质量。 In the process of MIMO radar imaging, due to its clutter, waveform design and space-time adaptive processing defects, such as the waveform of autocorrelation and mutual close sex of the radar caused serious influence, and in the traditional radar clutter suppression is adopted in the 2 d joint processing, need to compensate the distance dependence clutter, not has a good convergence performance, lead to the imaging accuracy and poor quality. MIMO radar imaging based on 3 d virtual reality technology, analyzes the model of MIMO radar imaging, the matched filter is adopted to go to the carrier frequency echo signal waveform decorrelation filter, it is divided into a number of signals, complete echo motion compensation, remove the translational interference, in order to eliminate the influence of emission waveform correlation of M1MO radar imaging, and then on the basis of the phase 2 d Fourier transform to obtain two directions of azimuth resolution, for all the distance unit carries on the two-dimensional Fourier transform along the plane XOY, access to the target - bearing X - Y orientation "distance" 3 d like to map it to plane XOY, YOZ plane and XOZ plane, the realization of space-time adaptive'processing, 3 d three-dimensional figure of the target imaging, MIMO radar imaging. The simulation results show that the proposed method has high accuracy and image quality.
出处 《计算机仿真》 CSCD 北大核心 2016年第1期16-19,共4页 Computer Simulation
关键词 三维虚拟显示 波形相关性 雷达 成像 三维自适应 3 D virtual display Waveform correlation Radar Imaging 3 D adaptive
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