Distributed Closed-Loop Fusion for Distributed Maritime Operations
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Authors
Mimih, Jihane
Subjects
distributed maritime operations
DMO
tasking, collection, processing, exploitation, and dissemination
TCPED
seabed-to-space
AI
artificial intelligence
C5ISRT
command and control, communications, computers, cyber, intelligence, surveillance, reconnaissance, and targeting
DoD
Department of Defense
ISR
intelligence, surveillance, and reconnaissance
ISRT
intelligence, surveillance, reconnaissance and targeting
autonomous vehicles
autonomous vessels
JADC2
joint all-domain command and control
P-LEO, Persistent low-Earth orbit, ML
Machine Learning
DMO
tasking, collection, processing, exploitation, and dissemination
TCPED
seabed-to-space
AI
artificial intelligence
C5ISRT
command and control, communications, computers, cyber, intelligence, surveillance, reconnaissance, and targeting
DoD
Department of Defense
ISR
intelligence, surveillance, and reconnaissance
ISRT
intelligence, surveillance, reconnaissance and targeting
autonomous vehicles
autonomous vessels
JADC2
joint all-domain command and control
P-LEO, Persistent low-Earth orbit, ML
Machine Learning
Advisors
Date of Issue
2023-06-27
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The DOD seeks to conduct all-domain operations and requires intelligence, surveillance, reconnaissance, and targeting (ISRT) across all domains of conflict. For the Navy, this includes the deep seabed, undersea, sea surface, air, space, and cyberspace operations. All domain ISRT encompasses and integrates information from sensors across all domains of the maritime environment—sensors and sources from “Seabed-to-Space”—to provide commanders with the most complete picture of adversary activities. This capability supports the Navy approach to Distributed Maritime Operations (DMO), an operational concept that enables widely dispersed naval units to perform sensing, command and control, and weapon activities such that the distributed platforms act as a coherent whole. All-domain ISRT requires a network to enable widely dispersed sensors to exchange, correlate, and combine sensor data (the fusion of data) to provide a complete understanding of the operational picture and to provide targeting information for long-range engagement required by DMO.
This study modeled and evaluated the role of persistent low earth orbit (P-LEO) space constellations and autonomous vehicles and vessels for sensing and network relay to enable over-the-horizon ISRT. Our findings show that the coordination of sensors via P-LEO space constellation relay is feasible, though complex, and enables DMO over-the-horizon operations for surface warfare long-range cooperative engagement. We analyze and model the orchestration of the diverse P-LEO sensors and the coordinated use of autonomous vehicles to enable coordinated fires. Our study has demonstrated how a constellation of imaging sensors and relay satellites will enable distributed search, detection, and tracking with local unmanned air and surface vehicles’ support for terminal engagement.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Organization
Identifiers
NPS Report Number
Sponsors
N2/N6 - Information Warfare
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
6 p.
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.