一种基于MIMO阵列的高炉雷达三维快速成像算法

A three-dimensional fast imaging algorithm for blast furnace radar based on MIMO array

针对高炉料面实时监测的需求,提出了一种基于MIMO阵列的高炉雷达三维快速成像算法,将其命名为距离-角谱域算法。该算法通过对目标的回波基带信号进行收发阵列维快速傅立叶变换、距离维快速傅立叶逆变换和插值得到目标在空间直角坐标系中的三维图像。与传统的MIMO阵列近场成像算法相比,该算法具有计算量小、运算效率高等优势,可应用于大场景快速成像。采用所提算法对点目标以及料面模型进行了成像仿真,验证了所提算法具有良好的成像性能和较高的运算效率。文中对比了所提算法与传统的MIMO阵列近场成像算法的运算量和成像质量,定性和定量地分析了所提算法的高运算效率和良好的成像质量。

Aiming at the demand of real-time monitoring of blast furnace material surface,a three-dimensional fast imaging algorithm of blast furnace radar based on MIMO array is proposed,which is named as distance-angle spectral domain algorithm.The algorithm obtains the three-dimensional image of the target in the space rectangular coordinate system by transmitting and receiving array fast Fourier transform,distance dimension fast Fourier inverse transform and interpolation to the target echo baseband signal.Compared with the traditional MIMO array near-field imaging algorithm,the algorithm has the advantages of small computation and high computational efficiency,and can be applied to large-scale fast imaging.The proposed algorithm is used to simulate the point target and the surface model,and the proposed algorithm has good imaging performance and high computational efficiency.In this paper,the computational complexity and the imaging quality of the proposed algorithm and the traditional MIMO array near-field imaging algorithm are compared,the high computational efficiency and the good imaging quality of the proposed algorithm are analyzed qualitatively and quantitatively.