基于修正霍夫模型的双曲线拟合及目标尺寸反演

针对传统目标双曲线数学模型中,因假定雷达紧贴地面或忽略雷达高度对传播路径的影响导致的目标双曲线拟合精度低以及目标反演误差大等问题,基于双曲线形成机理提出了雷达离地工作时目标双曲线的修正Hough数学模型.该算法利用对称度法和极值法分别实现双曲线顶点的定位和图像二值化,基于双曲线修正数学模型,利用Hough变换反演圆形目标大小,实现目标回波双曲线的拟合.仿真结果表明,与通用Hough变换相比,该算法具有更好的拟合效果和反演精度.

Hyperbola fitting and dimension inversion of cylindrical target based on modified Hough model

According to the traditional hyperbola mathematical model of object, the accuracy of object hyperbola fitting is low and the error of object inversion is large due to assumption that the radar emitter is close to the ground or ignorance of the height of the radar emitter influencing on the propagation path.To tackle these problems, a modified Hough model for object hyperbola was proposed when radar working off the ground. The location of apex can be implemented by means of symmetry and binary image with extremum algorithm. Suitable constraint formula can be chosen according to the height of the radar off the ground. The dimension of the cylindrical target and hyperbolic fitting can be achieved by making use of modified Hough Transform. The simulation result shows that the presented algorithm has better performance of target inversion accuracy.