Hough变换具有对局部缺损不敏感,抗噪声、杂波等特点,适用于杂波环境下的航迹起始。但Hough变换运算量大、占用内存多,这限制了其在航迹起始中的应用。文中提出了一种利用Hough变换实现航迹起始的新算法,舍弃了传统Hough变换采用观测空间中各点对参数空间投票的方法,改用几个点确定的唯一曲线进行投票。在该方法中每个观测点只对经过该点的部分曲线投票,减少了投票运算的次数。同时该方法利用了观测数据的时序信息和目标的运动信息,抑制了虚假航迹的产生。仿真结果表明:该算法运算速度和内存使用率要好于修正Hough变换,对杂波生成的虚假航迹有更好的抑制效果,并且不容易丢失真实目标的航迹。

Hough transform has low sensitivity to local fault and good ability in suppressing noise and clutters, which is applicable to track initiation in a cluttered environment. However, huge amount of computation and memory in Hough transform restricts its application in track initiation. A new Hough transform algorithm used in track initiation was put forward. Instead of according to plots in standard Hough transform, new algorithm votes according to parameters fixed by several plots in the observation space, which reduces the computation of voting. Moreover, new algorithm makes use of observed data忆s time sequence information and kinematics information of targets, which suppress false tracks formed by clutters. The result of simulation indicates that this algorithm has high computing speed and small memory that are almost equivalent to modified Hough transform but better suppression effect to false tracks generated by clutters. Moreover new track losing of real targets infrequently happens in the new algorithm.