基于随机Hough变换的航迹起始算法

雷达通常在密集干扰下探测目标，目标信息必定混淆假目标点迹，但针对假目标干扰中的断续点迹航迹起始问题，现有的方法难以有效解决。文中基于传统的三维随机Hough变换提出一种假目标干扰下对断续点迹进行航迹起始算法，采用序列检测技术设计采样终止规则来屏蔽虚假关联，构建飞行特征约束映射参数集来剔除虚假航迹。实验结果表明该算法的平均虚假航迹占有率仅为14。29%，计算时间为9。5416s，可为情报用户提供优良的情报综合实用性。

Track Initiation Algorithm Based on Randomized Hough Transform

Radar usually needs to detect targets under the dense pulse jamming condition, and the target information mixes up the fragmentary plots of false target jamming after it has been jammed by those pulses. It is difficult for the existing methods to initiate tracks effectively under the false target jamming condition. A track initiation algorithm based on the traditional randomized Hough transformation is proposed. The technology of sequence check is adopted to design the rule of sampling termination. Moreover, the parameter set of a flight feature constraint projection is constructed to eliminate any false tracks. Simulation results show that the proposed algorithm provides an excellent practicability for an information synthesis system, its average ratio of false tracks is only 14.9%,and its computation time occupies 9.5416 seconds.