Distributed Kalman Filters for Cooperative Localization of Munition Swarms
Abstract
Cooperative localization is a way for munition swarms to navigate in areas where GPS is denied or degraded. Cooperative schemes seek to distribute sensing and computing tasks among members of the swarm so that several agents with simpler, cheaper sensors and processors achieve high-precision solutions. Range-only sensors tend to be simpler, cheaper, and more rugged, thus this work considers only slant-range measurements between agents. Formulations of the distributed extended and unscented Kalman filters are reviewed in the context of range-only cooperative navigation. Measurement update equations are updated specific to the distributed extended Kalman filter for range-only measurements. Computational and communication sequences are clarified for distributed algorithms in formations larger than three. Several case studies are simulated to test for system observability and demonstrate performance of the algorithms.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2019
- Accession Number
- AD1080927
Entities
People
- Bradley T. Burchett
Organizations
- Rose–Hulman Institute of Technology