基于点集合并的修正Hough变换TBD算法

发布时间：2018-03-03 01:17

本文选题：检测前跟踪　切入点：Hough变换　出处：《航空学报》2017年01期 　论文类型：期刊论文

【摘要】：在低信噪比条件下,基于Hough变换的检测前跟踪算法是进行强杂波背景下目标航迹检测的一种手段。本文针对Hough变换后一个目标产生多条可能航迹以及航迹内可能存在杂波点的问题,提出了一种基于能量最大点和点集合并的修正Hough变换检测前跟踪算法。该算法利用量测点时序、能量信息及目标速度先验信息对Hough变换后点迹进行关联和剔除,能够有效的对目标原始航迹进行回溯。针对高斯噪声背景下的飞行目标,仿真结果表明该算法能够对微弱目标进行有效检测,在目标数目、杂波密度、信噪比发生变化的条件下仍能保持较高的检测概率。
[Abstract]:At low signal-to-noise ratio, The detection front tracking algorithm based on Hough transform is a method to detect the target track in the background of strong clutter. In this paper, there are many possible tracks and possible clutter points in a target after Hough transform. In this paper, a modified Hough transform pre-tracking algorithm based on the combination of maximum energy points and point sets is proposed, which uses time series, energy information and a prior information of target velocity to correlate and eliminate the points after Hough transform. The simulation results show that the algorithm can effectively detect the weak targets in the number of targets, the clutter density, the number of targets, the density of clutter, the number of targets, the number of targets, the density of clutter, the number of targets, the number of targets and the density of clutter. A high detection probability can be maintained when the SNR changes.
【作者单位】：海军航空工程学院信息融合研究所;
【基金】：国家自然科学基金(61372027,61501489,61671462)~~
【分类号】：TP301.6

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