一种基于新三维随机Hough变换的航迹起始算法

A New Track Initiation Algorithm Based on 3D Randomized Hough Transform

针对雷达跟踪多目标时,目标点迹受杂波、噪声等因素影响,航迹起始难度大的问题,利用三维空间直线表示方法提出了一种4参数三维Hough变换算法。该算法是对传统二维Hough变换的拓展,它结合了传统的二维随机Hough变换理论,是一种新的三维随机Hough变换算法。通过该算法对理论数据和实测数据进行验证,结果表明,对于航迹区别较大的目标,该算法的航迹起始成功概率为98.5%;对于空间航迹相近的目标,该算法可成功将目标航迹从杂波中提取出来,虽然可能会出现航迹混淆,但利用目标先验信息可解决该问题,实现航迹起始。

When radar tracks multiple targets,the tracks under dense pulse jamming and fragmentary plots of false target jamming are hard to initiate.To solve the problem,a new four parameter 3D Hough transform algorithm based on representation of straight lines in the 3D space is proposed.In combination with the traditional random Hough transform theory,a new 3D randomized Hough transform is developed,which is an extension of the traditional 2D randomized Hough transform.Simulation results of simulated data and measured data show that the proposed algorithm successfully initiates the track with a probability of 98.5％ to tracks that are not close.To the tracks that are quite close,the algorithm can extract tracks from clutter or jamming points.Although target tracks may be mixed up,the initiation can be finished with a priori information.