학술논문

A Low-Communication Distributed State-Estimation Framework for Satellite Formations
Document Type
Conference
Source
2023 IEEE Aerospace Conference Aerospace Conference, 2023 IEEE. :1-12 Mar, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Space vehicles
Uncertainty
Satellites
Position measurement
Filtering algorithms
Extraterrestrial measurements
Topology
Language
Abstract
This paper presents a novel distributed state-estimation framework for satellite formations. Existing consensus-based distributed filters have high communication re-quirements that make them unsuitable for resource-constrained small-spacecraft formations. We present a low-communication distributed filtering scheme targeted at small-satellite formations that are limited by inter-satellite communication chan-nel capacity. We assume a chief-deputy topology, similar to the proposed NASA Helioswarm mission. Our novel state-estimation framework is based on decoupling the chief state estimation filter from the deputies and using two separate filter architectures: one chief-specific that accounts for intermittent access to inertial position measurements, and a second deputy-specific one that only incorporates relative range measurements between the spacecraft, having the chief state as an external model input. We introduce a consider-covariance technique to account for the chief's state uncertainty in the deputy's filter. We demonstrate that the proposed distributed filter architecture requires significantly less communication than prior consensus-based methods in the literature while achieving comparable accuracy.