Trajectory optimization estimator for impulsive data association

Matthew Travers; Todd Murphey; Lucy Pao

doi:10.1109/acc.2011.5990926

Trajectory optimization estimator for impulsive data association

Matthew Travers^*, Todd Murphey, Lucy Pao

^*Corresponding author for this work

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

A new approach to multi-target data association is presented. In this new approach, the problem of correctly associating measurements to the object from which they originate is viewed as an impulse optimization. In the systems considered, a single sensor attempts to measure a pre-specified object of interest. Interpolating the discrete set of measurements, it is possible to compute a "measurement trajectory." The action of the sensor randomly measuring a system target other than the object of interest is viewed as an impulse in the measurement trajectory. It is possible to correctly associate measurements by determining the times at which the impulses occur. The main contribution of the work presented in this paper is to provide a method for estimating the total number of impulses.

Original language	English (US)
Title of host publication	Proceedings of the 2011 American Control Conference, ACC 2011
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4514-4519
Number of pages	6
ISBN (Print)	9781457700804
DOIs	https://doi.org/10.1109/acc.2011.5990926
State	Published - 2011

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2011.5990926

Cite this

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title = "Trajectory optimization estimator for impulsive data association",

abstract = "A new approach to multi-target data association is presented. In this new approach, the problem of correctly associating measurements to the object from which they originate is viewed as an impulse optimization. In the systems considered, a single sensor attempts to measure a pre-specified object of interest. Interpolating the discrete set of measurements, it is possible to compute a {"}measurement trajectory.{"} The action of the sensor randomly measuring a system target other than the object of interest is viewed as an impulse in the measurement trajectory. It is possible to correctly associate measurements by determining the times at which the impulses occur. The main contribution of the work presented in this paper is to provide a method for estimating the total number of impulses.",

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Trajectory optimization estimator for impulsive data association. / Travers, Matthew; Murphey, Todd; Pao, Lucy.

Proceedings of the 2011 American Control Conference, ACC 2011. Institute of Electrical and Electronics Engineers Inc., 2011. p. 4514-4519 5990926 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Trajectory optimization estimator for impulsive data association

AU - Travers, Matthew

AU - Murphey, Todd

AU - Pao, Lucy

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N2 - A new approach to multi-target data association is presented. In this new approach, the problem of correctly associating measurements to the object from which they originate is viewed as an impulse optimization. In the systems considered, a single sensor attempts to measure a pre-specified object of interest. Interpolating the discrete set of measurements, it is possible to compute a "measurement trajectory." The action of the sensor randomly measuring a system target other than the object of interest is viewed as an impulse in the measurement trajectory. It is possible to correctly associate measurements by determining the times at which the impulses occur. The main contribution of the work presented in this paper is to provide a method for estimating the total number of impulses.

AB - A new approach to multi-target data association is presented. In this new approach, the problem of correctly associating measurements to the object from which they originate is viewed as an impulse optimization. In the systems considered, a single sensor attempts to measure a pre-specified object of interest. Interpolating the discrete set of measurements, it is possible to compute a "measurement trajectory." The action of the sensor randomly measuring a system target other than the object of interest is viewed as an impulse in the measurement trajectory. It is possible to correctly associate measurements by determining the times at which the impulses occur. The main contribution of the work presented in this paper is to provide a method for estimating the total number of impulses.

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BT - Proceedings of the 2011 American Control Conference, ACC 2011

PB - Institute of Electrical and Electronics Engineers Inc.

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Trajectory optimization estimator for impulsive data association

Abstract

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