Optimal observer maneuver for bearings-only tracking

Passerieux, J.M.; Cappel, D. Van

doi:10.1109/7.705885

Cited by 158 publications

(89 citation statements)

References 13 publications

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“…In [16] a theoretical connection between the invertibility of the Fisher information matrix (FIM) and target (local) observability was established. In [25] (and references therein) the optimal platform maneuver was designed, in the sense of the best estimation accuracy in terms of the FIM.…”

Section: B Related Workmentioning

confidence: 99%

Tracking the Tracker from its Passive Sonar ML-PDA Estimates

Ciuonzo

Willett

Bar‐Shalom

2014

IEEE Trans. Aerosp. Electron. Syst.

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Target motion analysis with wideband passive sonar has received much attention. Maximumlikelihood probabilistic data-association (ML-PDA) represents an asymptotically efficient estimator for deterministic target motion, and is especially well-suited for low-observable targets; the results presented here apply to situations with higher signal to noise ratio as well, including of course the situation of a deterministic target observed via "clean" measurements without false alarms or missed detections. Here we study the inverse problem, namely, how to identify the observing platform (following a "two-leg" motion model) from the results of the target estimation process, i.e. the estimated target state and the Fisher information matrix, quantities we assume an eavesdropper might intercept. We tackle the problem and we present observability properties, with supporting simulation results. Index TermsEavesdropper, Fisher information matrix, ML-PDA, nonlinear identification, platform localization, stealthy platform, wideband passive sonar. P. K.

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Section: B Related Workmentioning

confidence: 99%

Tracking the Tracker from its Passive Sonar ML-PDA Estimates

Ciuonzo

Willett

Bar‐Shalom

2014

IEEE Trans. Aerosp. Electron. Syst.

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“…1,2) Although the range (distance from sensor to target) is observable from angle measurements, the range estimate is not as accurate as the angle estimates. It is known that large error in the range estimate degrades the accuracy of the angle estimates too, if the state of the estimator is chosen as the Cartesian coordinates of the target position and velocity.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Angle-only Tracking of Known Aircraft Target Using Single Imaging Sensor

Shin

Chun

Park

et al. 2005

Trans. Japan Soc. Aero. S Sci.

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In the tracking of a target using a radar or an imaging sensor, the acceleration of the target is usually modeled as a random vector (or the process noise in the state-space model) with known statistical properties. For a highly maneuvering target, the process noise has a large covariance matrix, and consequently, the estimated state has a large error. This paper proposes an approach that estimates the acceleration from the attitude of the target and uses the estimated acceleration for accurate tracking of the target. An imaging sensor is used for attitude estimation of the target (an aircraft; in this paper) as well as for tracking, without reliance on radar. Our simulation shows that the proposed method can track a maneuvering target much more accurately than traditional Kalman filters.

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“…In 1998, J. M. Passerieux and D. V. Cappel [5] studied the optimal observer maneuvering for bearings-only target tracking on two-dimensional plane. The optimal global precision and distance precision were adopted as performance indexes.…”

Section: Introductionmentioning

confidence: 99%

Optimal Observer Trajectory for Towed Sonar in Bearings-Only Tracking

Chen¹,

Wang²

2015

Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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Abstract. The unique constraints for the mother ship of towed sonar in bearings-only tracking is that it cann't maneuver frequently because during maneuvering and a certain time after maneuvering, the bearing measurements are not available. The maneuvering trajectories of the mother ship will greatly affect the locating and tracking accuracy. The least square method for estimating the motion parameters of the target is described. By considering these unique constraints, a genetic algorithm based on least squre method is adopted to optimize the observer trajectory. Simulation result shows the validity of the method.

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Optimal observer maneuver for bearings-only tracking

Cited by 158 publications

References 13 publications

Tracking the Tracker from its Passive Sonar ML-PDA Estimates

Tracking the Tracker from its Passive Sonar ML-PDA Estimates

Model-Based Angle-only Tracking of Known Aircraft Target Using Single Imaging Sensor

Optimal Observer Trajectory for Towed Sonar in Bearings-Only Tracking

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