Paper
31 July 2002 Geometric approach to target tracking motion analysis in bearing-only tracking
Ahmed S. Gad, Fernando Mojica, Mohamad Farooq
Author Affiliations +
Abstract
In maritime operations, target tracking and localization, also called target motion analysis (TMA), is an important issue. If an active sensor is used, the tracking process will be observable since we can predict the target range and bearing without any difficulty. The major disadvantage of using the active sources is that the enemy's targets can easily detect the ship position. Thus, tracking using active sources become a risky proposition. The alternative is to use passive tracking, but in this case the tracking process will be unobservable because we can only measure the target bearing. The range can be estimated via triangularization by using at least two platforms. Another method is to try to find the range using a geometrical approach to have at least one accurate range and then we can use it to construct the track under some assumptions. In this paper, a geometrical approach to bearing-only tracking is introduced. The target range is derived using few bearing measurements. Several own ship-target geometries have been set up for this purpose. To compute the target range, it is required that the own ship execute an admissible maneuver. The geometrical approach presented provides an acceptable performance and can be used for a short time period in the tracking process to provide a reasonable estimate of the range and then the tracker can use this range to generate the target track and hence reduce the bias.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed S. Gad, Fernando Mojica, and Mohamad Farooq "Geometric approach to target tracking motion analysis in bearing-only tracking", Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); https://doi.org/10.1117/12.477594
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Motion analysis

Filtering (signal processing)

Monte Carlo methods

Target detection

Active sensors

Computer engineering

Algorithm development

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