Multi-Objective Cost Function for Mid-Course Target Assignment in Air-Defense Cooperative Guidance

Air-defense systems are challenged by highly-dynamic attacks such as hypersonic vehicles and heterogeneous coordinated swarms. Cooperative guidance enables dynamic reactions of effectors in-flight to increase efficiency and effectiveness of the air-defense and better protect friendly assets. A major building block for cooperation is a continuous collaborative evaluation and adjustment of Weapon Target Assignments (WTAs). This increased autonomy requires informed decision routines. Therefore, this paper proposes a domain-informed multi-objective cost function for cooperative mid-course WTA. Instead of abstract and overly simple cost models, we systematically incorporated mission-relevant domain knowledge into the WTA optimization scheme. The cost structure accounts for effector dynamics with limited propulsion reserves, protected assets risk mitigation, and time-critical intercept feasibility based on predictive forward simulations. The resulting architecture is successfully tested through numerical evaluations across scenarios with both symmetric and asymmetric force compositions. It dynamically adapts to evolving threat scenarios and heterogeneous target sets. Real-time capability is positively assessed for applicability to embedded systems. The results contribute to the development of next-generation, cooperative air-defense architectures.

Authors

Institutions

Publication Details

Published
2026-01-08
DOI
https://doi.org/10.2514/6.2026-2197
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Objective Cost Function for Mid-Course Target Assignment in Air-Defense Cooperative Guidance

Ole Ostermann, Johannes Autenrieb, Carsten Walter Schwarz
Guidance and Control Systems
article

Multi-Objective Cost Function for Mid-Course Target Assignment in Air-Defense Cooperative Guidance

Ole Ostermann, Johannes Autenrieb, Carsten Walter Schwarz
article en

Abstract

Air-defense systems are challenged by highly-dynamic attacks such as hypersonic vehicles and heterogeneous coordinated swarms. Cooperative guidance enables dynamic reactions of effectors in-flight to increase efficiency and effectiveness of the air-defense and better protect friendly assets. A major building block for cooperation is a continuous collaborative evaluation and adjustment of Weapon Target Assignments (WTAs). This increased autonomy requires informed decision routines. Therefore, this paper proposes a domain-informed multi-objective cost function for cooperative mid-course WTA. Instead of abstract and overly simple cost models, we systematically incorporated mission-relevant domain knowledge into the WTA optimization scheme. The cost structure accounts for effector dynamics with limited propulsion reserves, protected assets risk mitigation, and time-critical intercept feasibility based on predictive forward simulations. The resulting architecture is successfully tested through numerical evaluations across scenarios with both symmetric and asymmetric force compositions. It dynamically adapts to evolving threat scenarios and heterogeneous target sets. Real-time capability is positively assessed for applicability to embedded systems. The results contribute to the development of next-generation, cooperative air-defense architectures.

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Partnerships for the goals
Openalex Percentile: Top 77%
Guidance and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.