Computationally-tractable approximate PHD and CPHD filters for superpositional sensors
In this paper we derive computationally-tractable approximations of the Probability Hypothesis Density (PHD) and Cardinalized Probability Hypothesis Density (CPHD) filters for superpositional sensors with Gaussian noise. We present implementations of the filters based on auxiliary particle filter ap...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Institute of Electrical and Electronic Engineers
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/55359 |