UAV Team Formation for Emitter Geolocation

Marsh, Luke; Gossink, Don; Drake, Samuel Picton; Calbert, Gregory

doi:10.1109/idc.2007.374545

Cited by 11 publications

(7 citation statements)

References 7 publications

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“…It should be noted here that there are error factors such as relative position of the verifier aircraft about the prover aircraft, for determining accuracy of position estimation error by TDOA [26]. Such factors will be considered in our detailed analysis and verified using simulations of air traffic and airspace conditions in a future work.…”

Section: A3-10mentioning

confidence: 96%

Visualization & assessment of ADS-B security for green ATM

Sampigethaya

2010

29th Digital Avionics Systems Conference

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Energy efficiency, noise and emissions footprint reduction are major "green" performance targets of next-generation air transportation systems. Automatic Dependent Surveillance Broadcast (ADS-B) is an advanced "cyber-physical" concept that can help meet such targets by enabling highly accurate air traffic surveillance. However, beneficial, confident application of ADS-B requires a foundational understanding of vulnerabilities and mitigation requirements. This paper focuses on the assessment and mitigation of threats from unauthorized access and unanticipated disruption of ADS-B communications. We present a solution to protect message integrity in ADS-B IN based airborne surveillance, discuss the accuracy and robustness of the solution in the presence of spoofed or compromised nodes and intentional jamming. To study effects of "intelligent jamming" strategies on ADS-B, visualize and analyze system-wide impact, we propose a security simulation tool concept and design.

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Section: A3-10mentioning

confidence: 96%

Visualization & assessment of ADS-B security for green ATM

Sampigethaya

2010

29th Digital Avionics Systems Conference

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“…Furthermore, a robotic instrumentation of an environment could be quickly adapted in the face of changing operational targets. This adaptive array configuration is similar to work in radio-frequency geolocation using UAV's [9]. In that domain, multiple aircraft are tasked with detecting and tracking multiple emitters using time-delay on arrival (TDOA) based algorithms.…”

Section: Related Workmentioning

confidence: 99%

“…Both solutions use an iterative approach where robots move based on local decisions on how best to improve the array. The first solution is based on a cost function derived from [9], in which sensor arrays are formed based on optimal angular layout. The second solution is a simpler attraction model where robots are attracted to the region of interest while being repulsed by other robots.…”

Section: Dynamic Optimization Of a Microphone Arraymentioning

confidence: 99%

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Optimizing a reconfigurable robotic microphone array

Martinson

Apker

Bugajska

2011

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Relative positioning of microphones in an array has a significant impact on how well the array can localize sound sources. Two-or three-dimensional localization accuracy of a randomly distributed array will vary widely with respect to the relative position of the sound source. Where a statically located array would be forced to work with its initial configuration, however, a reconfigurable robotic array does not have to remain in its starting position. Given a known region of interest, robots can autonomously optimize their relative configuration to improve localization accuracy where it matters the most. In this work, we propose 2 separate strategies for optimizing such a robotic array. Evaluations are completed first in simulation, and then deployed to a team of real robots.

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“…A particular application area of multi-agent systems and cooperative control, which has been recently attracting growing interest, is cooperative localization and surveillance of targets Polycarpou et al [2003], Marsh et al [2007], Spletzer and Taylor [2003]. In this paper, we consider the task of co-operative scanning of a region of interest by a formation of 3 unmanned aerial vehicles (UAVs) agent s. For such a task, precise maintenance of a particular pre-defined formation, through close observation of inter-agent distances, is required for precision in locating targets.…”

Section: Introductionmentioning

confidence: 99%