Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization. Issue 1 (1st June 2021)
- Record Type:
- Journal Article
- Title:
- Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization. Issue 1 (1st June 2021)
- Main Title:
- Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization
- Authors:
- Vasso, Albert
Cobb, Richard
Colombi, John
Little, Bryan
Meyer, David - Abstract:
- Abstract : Purpose: The US Government is challenged to maintain pace as the world's de facto provider of space object cataloging data. Augmenting capabilities with nontraditional sensors present an expeditious and low-cost improvement. However, the large tradespace and unexplored system of systems performance requirements pose a challenge to successful capitalization. This paper aims to better define and assess the utility of augmentation via a multi-disiplinary study. Design/methodology/approach: Hypothetical telescope architectures are modeled and simulated on two separate days, then evaluated against performance measures and constraints using multi-objective optimization in a heuristic algorithm. Decision analysis and Pareto optimality identifies a set of high-performing architectures while preserving decision-maker design flexibility. Findings: Capacity, coverage and maximum time unobserved are recommended as key performance measures. A total of 187 out of 10 17 architectures were identified as top performers. A total of 29% of the sensors considered are found in over 80% of the top architectures. Additional considerations further reduce the tradespace to 19 best choices which collect an average of 49–51 observations per space object with a 595–630 min average maximum time unobserved, providing redundant coverage of the Geosynchronous Orbit belt. This represents a three-fold increase in capacity and coverage and a 2 h (16%) decrease in the maximum time unobservedAbstract : Purpose: The US Government is challenged to maintain pace as the world's de facto provider of space object cataloging data. Augmenting capabilities with nontraditional sensors present an expeditious and low-cost improvement. However, the large tradespace and unexplored system of systems performance requirements pose a challenge to successful capitalization. This paper aims to better define and assess the utility of augmentation via a multi-disiplinary study. Design/methodology/approach: Hypothetical telescope architectures are modeled and simulated on two separate days, then evaluated against performance measures and constraints using multi-objective optimization in a heuristic algorithm. Decision analysis and Pareto optimality identifies a set of high-performing architectures while preserving decision-maker design flexibility. Findings: Capacity, coverage and maximum time unobserved are recommended as key performance measures. A total of 187 out of 10 17 architectures were identified as top performers. A total of 29% of the sensors considered are found in over 80% of the top architectures. Additional considerations further reduce the tradespace to 19 best choices which collect an average of 49–51 observations per space object with a 595–630 min average maximum time unobserved, providing redundant coverage of the Geosynchronous Orbit belt. This represents a three-fold increase in capacity and coverage and a 2 h (16%) decrease in the maximum time unobserved compared to the baseline government-only architecture as-modeled. Originality/value: This study validates the utility of an augmented network concept using a physics-based model and modern analytical techniques. It objectively responds to policy mandating cataloging improvements without relying solely on expert-derived point solutions. … (more)
- Is Part Of:
- Journal of defense analytics and logistics. Volume 5:Issue 1(2021)
- Journal:
- Journal of defense analytics and logistics
- Issue:
- Volume 5:Issue 1(2021)
- Issue Display:
- Volume 5, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 5
- Issue:
- 1
- Issue Sort Value:
- 2021-0005-0001-0000
- Page Start:
- 77
- Page End:
- 94
- Publication Date:
- 2021-06-01
- Subjects:
- Modeling and simulation -- Multi-objective optimization -- Space domain awareness -- System architecting -- Value-based decision-making
Military art and science -- Periodicals
Military research -- Periodicals
Defense industries -- Periodicals
Logistics -- Periodicals
355.4 - Journal URLs:
- https://www.emeraldinsight.com/loi/jdal ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JDAL-11-2020-0023 ↗
- Languages:
- English
- ISSNs:
- 2399-6439
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23462.xml