首页 | 本学科首页   官方微博 | 高级检索  
     检索      

锥扫型光学传感器像平面多目标轨迹跟踪
引用本文:龙云利,盛卫东,徐 晖,安 玮.锥扫型光学传感器像平面多目标轨迹跟踪[J].通信学报,2011(9):123-128.
作者姓名:龙云利  盛卫东  徐 晖  安 玮
作者单位:国防科学技术大学电子科学与工程学院;75122部队;
摘    要:积分概率多假设跟踪(IPMHT)是一种基于期望极大化(EM)的准最优贝叶斯多目标迭代跟踪算法,研究了该算法在锥扫型光学传感器像平面多目标轨迹跟踪中的问题。为提高算法的跟踪性能和计算效率,利用逻辑概率数据关联滤波(PDAF)方法进行目标初始状态估计,并利用目标幅度信息和波门技术对IPMHT进行优化。针对锥扫型传感器非线性观测下的多目标跟踪,将扩展无味卡尔曼滤波(AUKF)与优化的IPMHT算法相结合,实现像平面多目标轨迹的起始、维持和终结。蒙特卡洛仿真实验表明,该算法成功地解决了锥扫型传感器的像平面多目标轨迹跟踪问题,在提高目标跟踪性能的同时改善了计算效率。

关 键 词:多目标跟踪  积分概率多假设跟踪  期望极大化  扩展无味卡尔曼滤波

Tracking multi-target on image plane for the cone-scanning optical sensor
LONG Yun-li,SHENG Wei-dong,XU Hui,AN Wei.Tracking multi-target on image plane for the cone-scanning optical sensor[J].Journal on Communications,2011(9):123-128.
Authors:LONG Yun-li    SHENG Wei-dong  XU Hui  AN Wei
Institution:LONG Yun-li1,2,SHENG Wei-dong1,XU Hui1,AN Wei1(1.School of Electronic Science and Engineering Technology,National University of Defense Technology,Changsha 410073,China,2.Unite 75122,Guilin 541007,China)
Abstract:Integrated probabilistic multi-hypothesis tracking(IPMHT) for multi-target was an iterative suboptimal Bayesian method based on exception maximum(EM),which was studied for tracking targets on image plane for the cone-scanning optical sensor.In order to improve the algorithm performance and efficiency,probabilistic data association(PDAF) under logical ruler was utilized to estimate the target initial state and IPMHT was optimized as to the target intensity and association gate.To track multi-target under non...
Keywords:multi-target tracking  integrated probabilistic multi-hypothesis tracking  exception maximum  augmented unscented Kalman filter  
本文献已被 CNKI 等数据库收录!
点击此处可从《通信学报》浏览原始摘要信息
点击此处可从《通信学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号