摘要
本文针对由雷达与红外组成的分布式传感器网络,研究基于一致性的分布式变结构多模型方法(Distributed variable structure multiple model,DVSMM).首先,使用无迹信息滤波(Unscented information filter,UIF)解决系统非线性的问题,然后,将变结构交互式多模型(Variable structure interacting multiple model,VSMM)方法进行改进,提出一类可应用于分布式状态估计的分布式变结构多模型DVSMM方法.仿真实验结果验证了该方法的有效性.
This paper proposed a distributed variable structure multiple model(DVSMM)algorithm based on consensus theory in a distributed radar and infrared sensor system.Firstly,the unscented information filter(UIF)for nonlinear system is introduced.Secondly,according to improving the variable structure interacting multiple model(VSMM),the algorithm about consensus-based distributed variable structure multiple model is proposed to be applied in distributed sensor networks.The simulation results reveal that the DVSMM is effective.
作者
王昱淇
卢宙
蔡云泽
WANG Yu-Qi;LU Zhou;CAI Yun-Ze(Intelligent Information Control Laboratory,Shanghai Jiao Tong University,Shanghai 200240)
出处
《自动化学报》
EI
CAS
CSCD
北大核心
2021年第7期1548-1557,共10页
Acta Automatica Sinica
基金
国家自然科学基金重大科研仪器研制项目(61627810)资助。
关键词
机动目标跟踪
分布式状态估计
分布式交互式多模型方法
Maneuvering target tracking(MTT)
distributed estimation
distributed interacting multiple model
