Fusion of reduced-rank TMA estimates

Blanc‐Benon, Philippe; Passerieux, J.M.

doi:10.1109/7.869493

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The range rate is also measured independently of the range. In another maritime application [5], the observer travels along two legs, and the target is in CV motion, which is a typical scenario in BOTMA [14,15,22]. We see that for this special case, two solutions coexist, proving that the trajectory of the source is unobservable.…”

Section: Introductionmentioning

confidence: 82%

Observability: range-only vs. bearings-only target motion analysis for a leg-by-leg observer's trajectory

Pillon

Perez-Pignol

Jauffret

2016

IEEE Trans. Aerosp. Electron. Syst.

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The aim of so-called range-only target motion analysis (ROTMA) is to estimate the trajectory of a target by a single platform collecting range-only measurements. We focus on the observability analysis when the target is in constant-velocity motion. More precisely, the observability conditions are established when the observer's trajectory is composed of one or several legs. We establish a link between the Fisher information matrix (FIM), and the observability, after having proven the similarity of this matrix with the FIM encountered in bearingsonly target motion analysis (BOTMA). We compare observability statuses in BOTMA and ROTMA all along the paper.

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Section: Introductionmentioning

confidence: 82%

Observability: range-only vs. bearings-only target motion analysis for a leg-by-leg observer's trajectory

Pillon

Perez-Pignol

Jauffret

2016

IEEE Trans. Aerosp. Electron. Syst.

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“…The segmented trajectory model for the target has been widely employed in papers dealing with the problems of detecting maneuvers (see [11], [14] and [15]). Concerning the own ship maneuver, this model has been used in the past in order to propose an approximation of the CRLB [1], or to optimize the observer's maneuver [18], or to improve the optimization algorithms carried out in BOTMA (see for example [6], [7] and [8]). This model is justified since in practice, a ship or a submarine prefers to change its heading at a constant speed.…”

Section: -Introductionmentioning

confidence: 99%

Bearings-Only Maneuvering Target Motion Analysis from a Nonmaneuvering Platform

Jauffret

Pillon

Pignol

2010

IEEE Trans. Aerosp. Electron. Syst.

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In bearings-only target motion analysis (BOTMA), the common hypothesis is that the observer maneuvers while the source is traveling according to a constant speed and course. But there is no reason that the roles of each protagonist be not exchanged. In this paper, we consider an uncommon scenario: the trajectory of the target is composed of two legs (i.e. a target brutally changes its heading while keeping its speed) and the observer does not maneuver. We prove that the trajectory of the target is observable under non-restrictive conditions. A batch estimator is proposed and its performance is compared with the classic Cramèr-Rao lower bound (CRLB). Monte-Carlo simulations reveal the efficiency of the estimator. The robustness to a non brutal heading change is evaluated. Then an ad-hoc estimate taking the correct model into account isproposed and applied to simulated data. Again, its performance is compared to the CRLB and its robustness is evaluated when the speed of the target changes. Finally, the respective performances of the TMA made by each mobile are compared.

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Motion estimation using audio and video fusion

Loh

Guan

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004.

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In this paper, motion estimation is proposed by fusing audio and video sensor data. The audio systom consists of three microphones arranged on a Y-shaped structure, mounted on a pan-tilt camera. The camera forms the video system. Together, the audio and video system enables the 3D position of the sound source to be estimated. Using the position estimates, a motion model, consisting of the trenslational velocity and acceleration of the source, is in turn estimated using a, Kalnian Filter. The motion model allows the sound source to be tracked in real time. This fusion estiniation system has many pc+ tential applications such as video conferencing and security monitoring for intruders. Simulation results show that the motion estimation is satisfmtory.

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Fusion of reduced-rank TMA estimates

Cited by 3 publications

References 6 publications

Observability: range-only vs. bearings-only target motion analysis for a leg-by-leg observer's trajectory

Observability: range-only vs. bearings-only target motion analysis for a leg-by-leg observer's trajectory

Bearings-Only Maneuvering Target Motion Analysis from a Nonmaneuvering Platform

Motion estimation using audio and video fusion

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