High Value Self-Escort Against Unmanned Aerial and Surface Threats is a Naval Postgraduate School thesis by Michael H. Darnell, Joshua M. Kejsar, Wesley Kenyon, and Christine D. Norton.
The Department of the Navy aims to enhance the self-escort capabilities of high-value units (HVUs) against threats posed by unmanned systems (UxS). This project employs a systems engineering approach to develop a framework for analyzing potential system combinations to establish a counter-UxS (C-UxS) capability. Initially, a systems architecture outlines the deployment and integration of the C-UxS capability, emphasizing the degree of integration with HVUs and the distribution of supporting functions. Two hypothetical physical architectures present alternative conceptual designs: the “Echo/Inyx” option focuses on electronic warfare capabilities across the engagement space, while the “RamJammer” option includes a kinetic capability for close-range defense.
Subsequently, an adapted version of the government-developed Modeling and Simulation Toolkit (MAST) utilizes a state-machine-based method for simulating C-UxS scenarios. To facilitate capability analyses, the project employs a weighted scoring model on simulation output, incorporating a range-based defense profile to rank the alternatives. Finally, a hypothetical case study outlines an HVU escort scenario, demonstrating the relative benefits of the C-UxS self-escort capability through the two conceptual alternatives. The correlation between the weighted score and the probability of HVU intercept highlights the score’s efficacy as a singular metric for distinguishing operational capability among alternatives.
Publication Date– September 2023
High Value Self-Escort Against Unmanned Aerial and Surface Threats contains the following major sections:
- Introduction
- Background and Literature Review
- Architecture Definition
- Modeling and Simulation
- Case Study
- Conclusion and Future Work
Approved for public release. Distribution is unlimited.
C-UAS Hub does not own this content and provides a link for users at the bottom of the page to access it in its original location. This allows the author(s) to track important article metrics related to their work. All credit goes to its rightful owner.
Authors- Michael H. Darnell, Joshua M. Kejsar, Wesley Kenyon, and Christine D. Norton
See Also-
Post Image- HVU C-UxS Operational Concept (Image Credit: Authors)