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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.
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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
Abstract: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.
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图 3
$ {\theta }_{1}-{\theta }_{2} $ 的定义Fig. 3 Definition of
$ {\theta }_{1}-{\theta }_{2} $ 表 1 目标运动模式的变化
Table 1 Target mode switching
时间k 1 ~ 50 50 ~ 100 100 ~ 150 150 ~ 200 200 ~ 250 250 ~ 300 加速度${u_k}$ $ {\left[\rm{0}, \rm{0}\right]}^{\rm{T}}$ $ {\left[\rm{0}, \rm{-20}\right]}^{\rm{T}}$ $ {\left[\rm{0}, \rm{0}\right]}^{\rm{T}}$ $ {\left[\rm{10}, \rm{10}\right]}^{\rm{T}}$ $ {\left[\rm{-10}, \rm{-10}\right]}^{\rm{T}}$ $ {\left[\rm{10}, \rm{10}\right]}^{\rm{T}}$ 
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