Distributed Fusion Estimation of Asynchronous
Multi-Rate Multi-Sensor Network System in Navigation Guidance
LI Tongde 1， YAN Huaicheng 1， ZHOU Ge 2， FAN Sha 1， HONG Gu 2
1. Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education， East China
University of Science and Technology， Shanghai 200237， China；2. Shanghai Electro-Mechanical
Engineering Institute，Shanghai 201109，China
Abstract： 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.
李同德, 严怀成, 周革, 范莎, 洪君. 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[J]. 空天防御, 2021, 4(3): 92-98.
LI Tongde, YAN Huaicheng, ZHOU Ge, FAN Sha, HONG Gu. Distributed Fusion Estimation of Asynchronous
Multi-Rate Multi-Sensor Network System in Navigation Guidance. Air & Space Defense, 2021, 4(3): 92-98.
