UAVS and ISR Sensor Technology

Butler, Jeffrey T.

doi:10.21236/ada407741

Cited by 12 publications

(11 citation statements)

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“…ISR is based on the active use of wide-area sensors, information processing, exploitation and dissemination systems, providing full and effective decision support. ISR achieves a unique synergy that is based on the collection, provision, analysis of persistent and concentrated coverage, providing the ingredient for effective decisions in both urban and extra urban areas [5,6].…”

Section: Exploiting Informationmentioning

confidence: 99%

Information Management in Uas Multiagent

Baldea¹,

Garabet²

2017

AFASES 2017

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Section: Exploiting Informationmentioning

confidence: 99%

Information Management in Uas Multiagent

Baldea¹,

Garabet²

2017

AFASES 2017

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“…The former may be estimated via a variety of analysis techniques that examine a system in detail, but the latter requires knowledge of system interdependencies which can be numerous, complicated, and often opaque. Developmental interdependencies of SoS create layered networks that often span among a hierarchy of levels (DeLaurentis et al 2005, Butler et al 2001, Ayyalasomayajula et al 2008. The complexity of these networks often hides many of the otherwise explicit consequences of risk.…”

Section: Representation Of Riskmentioning

confidence: 99%

“…Systems-of-systems most often consist of multiple, heterogeneous, distributed systems that can (and do) operate independently but can also collaborate in networks to achieve a goal. Examples of systems-of-systems include: civil air transportation , battlefield ISR (Butler, 2001), missile defense (Francis, 2007), etc. According to Maier (1998), the distinctive traits of operational and managerial independence are the keys to making the collaboration work.…”

Section: Introductionmentioning

confidence: 99%

Acquisition Management for Systems-of-Systems: Risk Dynamics and Exploratory Model Experimentation

DeLaurentis¹

2011

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Final Report Purdue University 2 Executive SummaryThe Department of Defense (DoD) has placed a growing emphasis on the pursuit of agile capabilities via net-centric operations. The breadth of technological advancements in communication and sensing has generated exciting opportunities for battlefield systems to exploit collaboration to multiple effects. In this setting, systems able to interoperate along several dimensions increase the efficiency of the overall system-of-systems (SoS) manifold. However, the manner in which these system-of-systems are acquired (designed, developed, tested and fielded) hasn't completely kept pace with the shift in operational doctrine. In our current project, we have attempted to unravel the layers of complexities in an SoS acquisition program, outline an acquisition strategy better suited for such programs and develop an exploratory analysis tool to provide insights into the acquisition process.The research efforts during the report period have focused on the development of two types of tools to investigate the impact of development dependencies on the successful acquisition of SoS: 1) a computational exploratory model and 2) an analytical approach.The conceptual model for acquisition strategy proposed in our project is based on the 16 technical management and technical system-engineering processes outlines in the Defense Acquisition Guidebook (DAG), often referred to as the 5000-series guide. Our conceptual model for acquisition is centered on the revised processes of the 2007 System-of-Systems System Engineering (SoS-SE). Simulation of the development process, however, is not always feasible due to the large amount of information required to perform a simulation. The analytical approach seeks to augment the computational approach by developing a method that enables the comparison of networks of systems that are connected to each by developmental interdependencies by exposing and quantifying the cascading effects of development risk. The goal is to allow acquisition professionals to develop intuition for procuring and deploying system-of-systems.Applications of the modeling tool and the analytical network analysis method to different SoS topologies enables the comparison ...

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“…The data generated by these UAVs is then sent to ground or other airborne decision nodes that make decisions about subsequent maneuvers, planning, etc. Particularly, in parts of Central Asia, UAVs are currently being used to track insurgents in unstable areas [2].…”

Section: Introductionmentioning

confidence: 99%

“…The network interactions for current UAVs include communications with satellites, other aircraft and ground systems [2]. The communication is generally bidirectional, with navigation and other control data being sent to the UAV and sensor data being sent from the UAV.…”

Section: Introductionmentioning

confidence: 99%

A system-of-systems framework for the improved capability of insurgent tracking missions involving unmanned aerial vehicles

Kim

Puchaty

et al. 2010

2010 5th International Conference on System of Systems Engineering

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Unmanned aerial vehicles are increasingly being used in a variety of military missions. One such mission is that of Intelligence, Reconnaissance, and Surveillance. In these missions, unmanned aerial vehicles collect sensor data and communicate it to ground, air, and space assets to support decision-making. The ultimate purpose of the research reported in this paper is to define the requirements for a new unmanned aerial vehicle that improves the existing Intelligence, Surveillance, and Reconnaissance System-of-Systems. This paper describes the modeling approach, validation, and sensitivity results for performance of a single new unmanned aerial vehicle supported by other assets, as well as reliability, robustness, and baseline performance for an entire set of unmanned aerial vehicles.

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UAVS and ISR Sensor Technology

Abstract: Subject Terms Report Classification unclassified Classification of this page unclassified Classification of Abstract unclassified Limitation of Abstract UU Number of Pages58

Cited by 12 publications

References 1 publication

Information Management in Uas Multiagent

Information Management in Uas Multiagent

Acquisition Management for Systems-of-Systems: Risk Dynamics and Exploratory Model Experimentation

A system-of-systems framework for the improved capability of insurgent tracking missions involving unmanned aerial vehicles

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