Conjugate Unscented Transform Based Approach for Dynamic Sensor Tasking and Space Situational Awareness Conference Paper

abstract

• This paper presents a framework to manage sensor systems for the effective characterization and monitoring of uncertainty in distributed sensing problems. The problem of Space Situational Awareness, where a multitude of Resident space objects has to be tracked by a limited number of sensors is taken as the primary example. The central motive of the paper is to iteratively update sensor modalities of the sensors in an efficient manner so as to improve the overall tracking process of the dynamic targets. Recently developed Conjugate Unscented Transformation (CUT) method has been utilized to efficiently compute the expectation integrals that arise in the nonlinear state estimation process and sensor performance evaluations. Few sensor optimization problems are posed to optimally pair sensors to the targets using information measures such as Fisher Information and Mutual Information. Finally, numerical simulations illustrate the effectiveness of the proposed methodology.

name of conference

• 2015 American Control Conference (ACC)

authors

• Majji, Manoranjan

published proceedings

• 2015 AMERICAN CONTROL CONFERENCE (ACC)

author list (cited authors)

• Adurthi, N., Singla, P., & Majji, M.

citation count

• 6

complete list of authors

• Adurthi, Nagavenkat||Singla, Puneet||Majji, Manoranjan

publication date

• July 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

keywords

• Conjugate Unscented Transform Based Approach
• Cut
• Distributed Sensing Problem
• Distributed Sensors
• Dynamic Sensor Tasking
• Extraterrestrial Measurements
• Fisher Information
• Mutual Information
• Nonlinear Estimation
• Nonlinear State Estimation Process
• Numerical Analysis
• Numerical Simulation
• Object Tracking
• Optimisation
• Optimization
• Optimization Problem
• Performance Evaluation
• Radar Tracking
• Resident Space Object Tracking
• Space Debris
• Space Situational Awareness
• Space Vehicles
• Target Tracking
• Target Tracking Process
• Transforms
• Uncertainty

Digital Object Identifier (DOI)

• 10.1109/acc.2015.7172154

start page

• 5218

end page

• 5223

URL

• http://dx.doi.org/10.1109/acc.2015.7172154