异步多速率多传感器网络及在导航制导中的分布式融合估计

Distributed Fusion Estimation of Asynchronous Multi-Rate Multi-Sensor Network System in Navigation Guidance

本文研究了具有通信带宽约束的多传感器网络系统的多速率状态分布融合估计。对于多速率采样数据系统,提出了一种新的扩充方法,将多速率采样数据系统转换为单速率系统。首先,为了满足有限的通信带宽,采用降维策略只允许局部估计信号的部分分量发送到融合中心(fusion center,FC),同时给出了一种补偿策略来补偿每个分量的未发送分量。然后,对于由多速率传感器产生的局部状态估计,借助顺序快速协方差交叉(sequential fast co⁃variance intersection,SFCI)方法,提出了一种新的融合估计方法。最后,提供了一个对导航系统定位追踪的仿真实例,验证所提出的分布式融合估计方法的有效性。

This paper studies the fusion estimation of multi-rate state distribution for multi-sensor network system with communication bandwidth constraints.For multi-rate sampled data system,a new expansion method is proposed,which transforms multi-rate sampled data system into single rate system.In order to meet the limited communication bandwidth,a dimension reduction strategy is used to allow only part of the local estimated signal components to be sent to the fusion center(FC).At the same time,a compensation strategy is proposed to compensate the unsent components of each component.For the local state estimation generated by multi-rate sensors,a new fusion estimation method is proposed by using the sequential fast covariance intersection(SFCI)method.Finally,a simulation example is provided to verify the effectiveness of the proposed distributed fusion estimation method.