Paper
5 January 2004 Operational tracking issues in the presence of closely spaced objects (CSOs)
Author Affiliations +
Abstract
The real world presents a much messier tracking environment than the usual pristine world of tracking simulations. In particular, simulations often do not properly account for the presence of CSOs in the vicinity of the objects being tracked, thereby producing potentially misleading results. CSOs have several nasty effects on trackers, which, if not mitigated, may result in show-stopping surprises when attempting to use a tracker operationally. This paper will describe and quantify some of the limitations that CSOs impose on single sensor and/or multisensor trackers. These limitations include delaying the expected time that a given object can be confidently resolved, interfering with the ability to asso-ciate objects between sensors properly, contaminating track files with spurious signature information, and forcing some form of cluster tracking to be employed. Analytic predictions of these limitations, based on local object density over time, will be presented, backed up by various Monte Carlo simulations. A more robust metric is proposed to allow the prediction of a more operationally meaningful probability of correct target association in a multisensor environment.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albert J. Perrella Jr. "Operational tracking issues in the presence of closely spaced objects (CSOs)", Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); https://doi.org/10.1117/12.509125
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Radar

Monte Carlo methods

Principal component analysis

Infrared sensors

Optical resolution

Computer simulations

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