弱目标自动跟踪中的线谱检测
Weak target tracking algorithm based on line spectrum detection
李彦楠 1史明佳 2王伟 1刘志鹏1
作者信息
- 1. 中国船舶集团有限公司 第七一五研究所,浙江 杭州 310023
- 2. 哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150000
- 折叠
摘要
为提高在低信噪比及多目标干扰下的被动弱目标自动检测、跟踪能力,提出一种带有多线谱融合、优选的线谱目标自动跟踪算法.该算法基于线谱检测,对融合多线谱特征的线谱目标进行自动跟踪,确定线谱目标的建立、删除、融合及关联准则,采用针对航迹的多假设跟踪(MHT)算法对多目标进行自动跟踪,具有计算量小,弱目标跟踪能力强的优点.海试数据分析表明,在强目标干扰的情况下,本算法仍可以对具有线谱特征的弱目标进行稳定跟踪.
Abstract
To enhance the automatic detection and tracking capabilities of passive weak targets under low signal-to noise ratios and in the presence of multiple target interference,a novel algorithm with multi-line spectrum fusion and optimal line spectrum target automatic tracking is proposed.This algorithm is based on line spectrum detection and automatically tracks targets with fused multi-line spectrum features,establishing the criteria for the creation,deletion,fusion,and association of line spectrum targets.It employs a Multi-Hypothesis Tracking(MHT)algorithm tailored for trajectories to automatically track multiple targets,offering the advantages of low computational complexity and strong weak target tracking capability.Analysis of sea trial data indicates that even in the presence of strong target interference,this algorithm can still provide stable tracking for weak targets with line spectrum characteristics.
关键词
线谱检测/线谱跟踪/线谱融合/多目标跟踪算法/多假设跟踪Key words
line spectrum detection/line spectrum tracking/line spectrum fusion/multi-target tracking algorithm/Multi-Hypothesis Tracking引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据