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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lin Yun Si Xicai Gao Lipeng Wang Liguo |
| Copyright Year | 2009 |
| Description | Author affiliation: Information and Communication Engineering College, Harbin Engineering University, China (Lin Yun; Si Xicai; Gao Lipeng; Wang Liguo) |
| Abstract | Data association mainly decided whether the data from different sensors stood for the same target in multi-target information fusion. Tradition data association always took the joint probabilistic data association (JPDA) algorithm as the priority means which depend on the state measurement and was complex with long computation time. A PDA algorithm used in the paper based on gray correlation analysis not only calculated with multiple features of the target, but also was easy and accurate and had short computation time. Compared to the weight factor given by subjective judgments of the experts, a new PDA algorithm was proposed based on entropy weight and gray correlation analysis. The algorithm made the data more theoretical by given the weight factor of entropy weight of the target features adaptively. Experiments showed that the proposed algorithm was effective in engineering. |
| Starting Page | 380 |
| Ending Page | 383 |
| File Size | 961391 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424446681 |
| DOI | 10.1109/PRIMEASIA.2009.5397365 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Space vector pulse width modulation Target tracking Probability Data engineering Entropy Frequency estimation Personal digital assistants Nearest neighbor searches Information analysis |
| Content Type | Text |
| Resource Type | Article |
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