Consensus CPHD filter for distributed multitarget tracking
The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPH...
| 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/20.500.11937/7924 |
| Summary: | The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filter that provides a fully distributed, scalable and computationally efficient solution to the problem. The effectiveness of the proposed approach is demonstrated via simulation experiments on realistic scenarios. |
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