Abstract
In a multi-target scenario more than one observation may fall within the prediction ellipse of a filter and prediction ellipses of different filters may interact. Several approaches may be used for this situation, one of that is called the track splitting algorithm. In this algorithm, if ‘n’ observations occur inside a prediction ellipse, then the filter branches or splits into ‘n’ tracking filters. This process may result in more than one filter, tracking the same target. Therefore, similarity criterion is used to prune similar filters tracking the same target. In this study a novel approach is used to avoid this criterion to speed-up the computation, additionally it also substantially reduce system storage requirements.
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Hussain, D.A., Yang, Z., Haq, S.A., Ahmed, Z., Ullah Khan, M.Z. (2008). A Novel Technique to Avoid Similarity Criterion Calculations in a Multi-Processor Environment. In: Elleithy, K. (eds) Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8735-6_32
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DOI: https://doi.org/10.1007/978-1-4020-8735-6_32
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