无线电工程2024，Vol.54Issue(6)：1504-1511,8.DOI:10.3969/j.issn.1003-3106.2024.06.020
基于状态可观测性和多模态数据PF的移动目标跟踪
Moving Target Tracking Based on State Observability and Multimodal Data PF
摘要
Abstract
In order to track moving targets,a novel tracking scheme based on the observability of target state and multimodal data Particle Filtering(PF)is proposed.Using the measurements of the distance and direction of arrival for the tracking target obtained by the sensors deployed in the target moving region,the particle filtering observation value is calculated by preprocessing the received data to form a temporary range image.Then the target state vector is determined by using the state update function and the formed candidate image template.In addition,an additional weighted stage is added to the particle filter,so that the particle filter can adaptively synchronize the multimodal data stream to achieve robust target tracking.The simulation results show that the proposed scheme can track the moving target effectively.关键词
无线传感器网络/移动目标跟踪/状态向量/粒子滤波/多模态数据/传播延迟Key words
wireless sensor network/moving target tracking/state vector/PF/multimodal data/propagation delay分类
计算机与自动化引用本文复制引用
胡国华,赵涓涓,郝耀军..基于状态可观测性和多模态数据PF的移动目标跟踪[J].无线电工程,2024,54(6):1504-1511,8.基金项目
山西省自然科学基金(20210302124330) （20210302124330）
山西省高校科技创新项目(2019L0847) （2019L0847）
教育部人文社科青年基金项目(20YJC630034) （20YJC630034）
忻州师范学院五台山文化生态研究院专题项目(2020133101)Shanxi Provincial Natural Science Foundation of China(20210302124330) （2020133101）
University Science and Technology Innovation Project of Shanxi Province(2019L0847) （2019L0847）
Youth Project of Humanities and Social Sciences Fund of Ministry of Education(20YJC630034) （20YJC630034）
Spe-cial Project of Wutai Mountain Culture Research Institute in Xinzhou Nor-mal University(2020133101) （2020133101）
