Anticipative Point-Mass Method for High-Performance Estimation and Navigation (APHEN)
Abstract
The objective of the project is to theoretically advance multi-dimensional non-linear, non-Gaussian(NL/NG) estimation methods, which represent a key component of any modern system for targettracking, navigation, and positioning. NL/NG estimation is a significant research topic towardsenhanced performance of equipment in stand-off, cluttered, and denied environments. TheAnticipative Point-Mass Method for High-Performance Estimation and Navigation (APHEN) project willfocus on the development of the point-mass method (PMM) which, due to current advances of parallelcomputer processing units, has become an attractive signal processing algorithm offering highperformance and reliable estimates. The PMM has been applied in many areas among which theterrain-aided navigation (TAN) is a widely known one. The TAN allows continuous navigation even inGPS-denied environments, i.e., in the environment, where the GPS signal is intentionally (e.g., becauseof spoofing or jamming) or unintentionally (e.g., because of geomagnetic storms or multipath)interfered.The specific goal of the project is to further advance the PMM in terms of reduction of thecomputational complexity by the anticipative grid design, proper utilization of parallelization, andincreasing accuracy and reliability of the PMM. The EPHEN would provide a comprehensive approachapplicable to a broad range of applications and has been a topic of interest for the US researchlaboratories such as the Air Force Research Lab (Dr. Blasch), Navy Research Lab (Dr. Crouse), and theArmy Research Lab (Dr. Kaplan) all who have had discussions with UWB in the last five years.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2020
- Source ID
- N629092012073
Entities
People
- Jindřich Duník
Organizations
- Office of Naval Research
- United States Navy
- University of West Bohemia