Passive tracking of a maneuvering target: an adaptive approach

Katsikas, Sokratis K.; Leros, Assimakis K.; Lainiotis, Demetrios G.

doi:10.1109/78.298290

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…Target tracking is crucial in many applications such as maritime surveillance, air-to-air or ground-to-air defense and intelligence battlefield .etc [1]. Tracking performance of control system should complete the quick response and accurate tracking requirements to deal with the nonmaneuver and maneuver ability of target [2].…”

Section: Introductionmentioning

confidence: 99%

RCP-based HIL Simulation and Control for 2-DOF Tracking Robot of Maneuvering Target

Tong

Zhang

et al. 2009

2009 International Asia Conference on Informatics in Control, Automation and Robotics

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The research on tracking control system of maneuvering target is a hot issue. 2-DOF robot has kinematic capability of tracking non-maneuvering and maneuvering targets in air, while the servo control of the robot is crucial for the performance of target tracking. Traditional routine, including modeling, simulation and controller design, is a serial process, so the burdensome iterative steps bring about restrictions to the development period and efficiency. RCP as a live design can realize a smooth and fast transition from conceptual design to experimental verifications. Based on this technique a design routine is proposed and used for HIL simulation of 2-DOF Tracking Robot of Maneuvering Target. Experimental results show that the new routine is efficient and the requirements are better fulfilled.

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Section: Introductionmentioning

confidence: 99%

RCP-based HIL Simulation and Control for 2-DOF Tracking Robot of Maneuvering Target

Tong

Zhang

et al. 2009

2009 International Asia Conference on Informatics in Control, Automation and Robotics

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“…In many applications the target motion is planar or near planar; an important example is target tracking from a submarine using passive sonar [9]. The references [2,3,4,6,7,8,9,11,12,20,22] provide a starting point from which the literature on tracking can be explored.…”

mentioning

confidence: 99%

“…Applications of the EKF to bearings-only tracking can be found in [6,9,11,20,22]. Many of these references are concerned with deficiencies in the EKF.…”

mentioning

confidence: 99%

“…In [22] the EKF is modified further in order to improve performance in the early stages of tracking: the state space is reparameterized, and the measurement function is smoothed. In [11] the EKF is adapted to the tracking of a maneuvering target. A bank of filters is used, with each filter tailored to a subset of the possible maneuvers that the target may undertake.…”

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confidence: 99%

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Bearings-Only Tracking in the Plane

Maybank¹

1998

SIAM J. Appl. Math.

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It is known that the conditional probability density function for the general filtering problem can be represented as a path integral. This representation is the basis of a new finite dimensional recursive filter which is applied to bearings only tracking. The filter computes an approximation to the density for the target position conditional on the measurements. The approximation is accurate provided only the most recent measurements are used. Two different models for the target motion are considered. In the first the model is a known motion subject to a perturbation by an Ornstein-Uhlenbeck process. In the second the acceleration of the target is a Brownian motion. Numerical experiments show that for the first model the bearing angle measurements add little or no range information, but for the second model they do add significant range information, especially if the noise level in the model is high.

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