Bayes‐optimal tracking of two statistically correlated targets in general clutter
Abstract The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point‐clutter process. This paper shows how to...
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| Format: | Article |
| Language: | English |
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Hindawi-IET
2022-12-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12150 |