CAJ | 학술논문

在总结分析现有多目标跟踪方法的基础上,重点阐述了一种新的基于概率假设密度的多目标滤波跟踪方法,利用带有新生目标检测功能的概率假设密度滤波方法,通过仿真算例,与传统的MHT方法和GM-PHD方法进行了跟踪性能对比,说明了概率假设密度滤波器在强杂波和新生目标未知情况下的优越性.
재총결분석현유다목표근종방법적기출상,중점천술료일충신적기우개솔가설밀도적다목표려파근종방법,이용대유신생목표검측공능적개솔가설밀도려파방법,통과방진산례,여전통적MHT방법화GM-PHD방법진행료근종성능대비,설명료개솔가설밀도려파기재강잡파화신생목표미지정황하적우월성.
Based on summarizing the methods of multiple targets tracking, a novel probability hypothesis density filter algorithm is proposed. Simulation results demonstrate that the proposed tracker can adaptively and efficiently track multiple targets especial y in scenarios with birth targets of unknown position, which the MHT and GM-PHD filter are unable to do on their own