Mr. Martin Tobias Profile

Martin Tobias

Student at Georgia Institute of Technology

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Proceedings Article | 9 August 2004 Paper

Multitarget tracking using multiple bistatic range measurements with probability hypothesis densities

Martin Tobias, Aaron Lanterman

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.544027

KEYWORDS: Particles, Signal to noise ratio, Radar, Receivers, Transmitters, Expectation maximization algorithms, Particle filters, Target detection, Antennas, Sensors

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Ronald Mahler's Probability Hypothesis Density (PHD) provides a promising framework for the passive coherent location of targets observed via multiple bistatic radar measurements. We consider tracking targets using only range measurements from a simple non-directional receiver that exploits non-cooperative FM radio transmitters as its "illuminators of opportunity." A target cannot be located at a single point by a particular transmitter-receiver pair, but rather it is located along a bistatic range ellipse determined by the position of the target relative to the receiver and transmitter. Target location is resolved by using multiple transmitter-receiver pairs and locating the target at the intersection of the resulting bistatic ellipses. Determining the intersection of these bistatic range ellipses and resolving the resultant ghost targets is generally a complex task. However, the PHD provides a convenient and simple means of fusing together the multiple range measurements to locate targets. We incorporate signal-to-noise ratios, probabilities of detection and false alarm, and bistatic range variances into our simulation.

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