Reduction of computational load for implementing iJIPDA filter
| Autor: | Taek Lyul Song, Yifan Xie, Hyoung Won Kim, Hyung June Kim |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
020301 aerospace & aeronautics
0209 industrial biotechnology Radar tracker Computer science Computation Real-time computing Probabilistic logic 02 engineering and technology Computational resource Reduction (complexity) 020901 industrial engineering & automation 0203 mechanical engineering Computer engineering Filter (video) Clutter Resource management (computing) |
| Zdroj: | FUSION |
| Popis: | The conventional multi-target tracking (MTT) algorithms usually suffer from computational intractability problem. The appearance of Iterative Joint Integrated Probabilistic Data Association (iJIPDA) filter solves this problem by providing a tradeoff between the tracking performance and computational cost for computational resource management of sensor systems. However, the iJIPDA filter essentially involves repetitive computation which makes it impractical to perform at high levels. Thus we provide an improved iJIPDA filter which prevents repetitive computations and increases the computational efficiency such that better performances can be obtained within limited time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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