复杂环境下基于序列Hough变换和逻辑法的航迹起始方法

Track Initiation Approach Based on Sequence Hough Transform and Logic Algorithm in Complex Environment

Hough变换常用于雷达的航迹起始,但是复杂环境下,由于杂波密度大、探测回波不连续导致目标在参数空间的投票常常淹没在噪声和杂波中,为检测出目标一般将阈值设低,这导致后续还原航迹的运算量变大。针对常规Hough变换无法在复杂环境下有效使用的问题,提出了一种基于序列Hough变换和逻辑法的航迹起始方法,利用雷达在同一次扫描中点迹无关的特性减少Hough变换的无效积累,通过Hough变换时的积累分布特性进行峰值聚类并设置合理阈值提取满足条件的点,利用逻辑法进行点迹筛选还原航迹。验证结果表明,该方法能在复杂环境下有效地起始多目标航迹。

Hough transform is often used for radar track initiation,while in a complex environment,the target’s voting in the parameter space is often submerged in the clutter and noise due to the high clutter density and the discontinuity of detected echoes,and there are so many voting points exceeding the threshold after Hough transform that the calculation amount for the subsequent restoration of track becomes huge.Therefore,a method of track initiation based on sequence Hough transform and logic algorithm is proposed.The point-independent characteristic of radar in the same scan is used to reduce the ineffective accumulation of Hough transform,and then the accumulation and distribution characteristics of Hough transform are used for peak clustering,and a reasonable threshold is set to extract the points that meet the conditions.Finally,the logic algorithm is used to screen the points to restore the track.Simulation verifies the effectiveness of this method for multi-target track initiation in complex environment.