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Optimal observer trajectories for passive target localization using bearing-only measurements

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Optimal observer trajectories for passive target localization using bearing-only measurements. / Oshman, Yaakov; Davidson, Pavel.

Guidance, Navigation, and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics Inc. (AIAA), 1996. p. 1-11.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Oshman, Y & Davidson, P 1996, Optimal observer trajectories for passive target localization using bearing-only measurements. in Guidance, Navigation, and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics Inc. (AIAA), pp. 1-11, Guidance, Navigation, and Control Conference and Exhibit, 1996, San Diego, United States, 29/07/96.

APA

Oshman, Y., & Davidson, P. (1996). Optimal observer trajectories for passive target localization using bearing-only measurements. In Guidance, Navigation, and Control Conference and Exhibit (pp. 1-11). American Institute of Aeronautics and Astronautics Inc. (AIAA).

Vancouver

Oshman Y, Davidson P. Optimal observer trajectories for passive target localization using bearing-only measurements. In Guidance, Navigation, and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics Inc. (AIAA). 1996. p. 1-11

Author

Oshman, Yaakov ; Davidson, Pavel. / Optimal observer trajectories for passive target localization using bearing-only measurements. Guidance, Navigation, and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics Inc. (AIAA), 1996. pp. 1-11

Bibtex - Download

@inproceedings{f571a2c84b404a32878768c0eec48002,
title = "Optimal observer trajectories for passive target localization using bearing-only measurements",
abstract = "Bearing-only target localization is a classical nonlinear estimation problem, which has continued to be of theoretical and practical interest over the last five decades. The problem is to estimate the location of a fixed target, based on a sequence of noisy, passive bearing measurements, acquired by a sensor mounted onboard a moving observer. Although this process is, in theory, observable even without an observer maneuver, estimation performance (i.e., accuracy, stability and convergence rate) can be greatly enhanced by properly exploiting observer motion to increase observability. This paper addresses the problem of determining optimal observer trajectories for bearings-only fixed-target localization. The approach presented herein is based on maximizing the determinant of the Fisher information matrix (FIM), while taking into account various constraints imposed on the observer trajectory (e.g., by the target defense system). Gradient based numericl schemes, as well as a recently introduced method based on differential inclusion, are used to solve the resulting optimal control problem. Computer simulations, utilizing the familiar maximum likelihood (ML) and Stansfield estimators, are presented, which demonstrate the enhancement to target position estimability using the optimal observer trajectories.",
author = "Yaakov Oshman and Pavel Davidson",
year = "1996",
language = "English",
pages = "1--11",
booktitle = "Guidance, Navigation, and Control Conference and Exhibit",
publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Optimal observer trajectories for passive target localization using bearing-only measurements

AU - Oshman, Yaakov

AU - Davidson, Pavel

PY - 1996

Y1 - 1996

N2 - Bearing-only target localization is a classical nonlinear estimation problem, which has continued to be of theoretical and practical interest over the last five decades. The problem is to estimate the location of a fixed target, based on a sequence of noisy, passive bearing measurements, acquired by a sensor mounted onboard a moving observer. Although this process is, in theory, observable even without an observer maneuver, estimation performance (i.e., accuracy, stability and convergence rate) can be greatly enhanced by properly exploiting observer motion to increase observability. This paper addresses the problem of determining optimal observer trajectories for bearings-only fixed-target localization. The approach presented herein is based on maximizing the determinant of the Fisher information matrix (FIM), while taking into account various constraints imposed on the observer trajectory (e.g., by the target defense system). Gradient based numericl schemes, as well as a recently introduced method based on differential inclusion, are used to solve the resulting optimal control problem. Computer simulations, utilizing the familiar maximum likelihood (ML) and Stansfield estimators, are presented, which demonstrate the enhancement to target position estimability using the optimal observer trajectories.

AB - Bearing-only target localization is a classical nonlinear estimation problem, which has continued to be of theoretical and practical interest over the last five decades. The problem is to estimate the location of a fixed target, based on a sequence of noisy, passive bearing measurements, acquired by a sensor mounted onboard a moving observer. Although this process is, in theory, observable even without an observer maneuver, estimation performance (i.e., accuracy, stability and convergence rate) can be greatly enhanced by properly exploiting observer motion to increase observability. This paper addresses the problem of determining optimal observer trajectories for bearings-only fixed-target localization. The approach presented herein is based on maximizing the determinant of the Fisher information matrix (FIM), while taking into account various constraints imposed on the observer trajectory (e.g., by the target defense system). Gradient based numericl schemes, as well as a recently introduced method based on differential inclusion, are used to solve the resulting optimal control problem. Computer simulations, utilizing the familiar maximum likelihood (ML) and Stansfield estimators, are presented, which demonstrate the enhancement to target position estimability using the optimal observer trajectories.

M3 - Conference contribution

SP - 1

EP - 11

BT - Guidance, Navigation, and Control Conference and Exhibit

PB - American Institute of Aeronautics and Astronautics Inc. (AIAA)

ER -