Mr. Mark G. Rutten Profile

Mark G. Rutten

at Univ of Melbourne

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Author

Publications (3)

Proceedings Article | 25 August 2004 Paper

Particle-based track-before-detect in Rayleigh noise

Mark Rutten, Neil Gordon, Simon Maskell

Proceedings Volume 5428, (2004) https://doi.org/10.1117/12.541275

KEYWORDS: Particles, Sensors, Target detection, Detection and tracking algorithms, Signal to noise ratio, Particle filters, Interference (communication), Signal processing, Signal detection, Radar

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Proceedings Article | 25 August 2004 Paper

Multipath track association for over-the-horizon radar using Lagrangian relaxation

Mark Rutten, Simon Maskell, Mark Briers, Neil Gordon

Proceedings Volume 5428, (2004) https://doi.org/10.1117/12.541276

KEYWORDS: Detection and tracking algorithms, Radar, Target detection, Computer simulations, Surveillance, Chromium, Lawrencium, Reconstruction algorithms, Defense and security, Signal processing

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Over-the-horizon radar (OTHR) uses the refraction of high frequency radiation through the ionosphere in order to detect targets beyond the line-of-sight horizon. The complexities of the ionosphere can produce multipath propagation, which may result in multiple resolved detections for a single target. When there are multipath detections, an OTHR tracker will produce several spatially separated tracks for each target. Information conveying the state of the ionosphere is required in order to determine the true location of the target and is available in the form of a set of possible propagation paths, and a transformation from measured coordinates into ground coordinates for each path. Since there is no a-priori information as to how many targets are in the surveillance region, or which propagation path gave rise to which track, there is a joint target and propagation path association ambiguity which must be resolved using the available track and ionospheric information. The multipath track association problem has traditionally been solved using a multiple hypothesis technique, but a shortcoming of this method is that the number of possible association hypotheses increases exponentially with both the number of tracks and the number of possible propagation paths. This paper proposes an algorithm based on a combinatorial optimisation method to solve the multipath track association problem. The association is formulated as a two-dimensional assignment problem with additional constraints. The problem is then solved using Lagrangian relaxation, which is a technique familiar in the tracking literature for the multidimensional assignment problem arising in data association. It is argued that due to a fundamental property of relaxations convergence cannot be guaranteed for this problem. However, results show that a multipath track-to-track association algorithm based on Lagrangian relaxation, when compared with an exact algorithm, provides a large reduction in computational effort, without significantly degrading association accuracy.

Proceedings Article | 26 November 2001 Paper

Joint ionospheric and target state estimation for multipath OTHR track fusion

Mark Rutten, D. John Percival

Proceedings Volume 4473, (2001) https://doi.org/10.1117/12.492797

KEYWORDS: Radar, Detection and tracking algorithms, Target detection, Electronic filtering, Algorithm development, Data modeling, Time metrology, Signal processing, Stochastic processes, Signal detection

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