| Multi-sources information fusion algorithm in airborne detection systems |
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| 作者单位： | Yang Yan（Coll. of Electronic Information Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China） ;Jing Zhanrong（Coll. of Electronic Information Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China） ;Gao Tian （Coll. of Electronic Information Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China） ;Wang Huilong（Coll. of Electronic Information Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China） ; |
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| 摘 要： | To aim at the multimode character of the data from the airplane detecting system, the paper combines Dempster- Shafer evidence theory and subjective Bayesian algorithm and makes to propose a mixed structure multimode data fusion algorithm. The algorithm adopts a prorated algorithm relate to the incertitude evaluation to convert the probability evaluation into the precognition probability in an identity frame, and ensures the adaptability of different data from different source to the mixed system. To guarantee real time fusion, a combination of time domain fusion and space domain fusion is established, this not only assure the fusion of data chain in different time of the same sensor, but also the data fusion from different sensors distributed in different platforms and the data fusion among different modes. The feasibility and practicability are approved through computer simulation.
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| 收稿时间： | 2005-09-19 |
Multi-sources information fusion algorithm in airborne detection systems |
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| Yang Yan,Jing Zhanrong,Gao Tian,Wang Huilong. Multi-sources information fusion algorithm in airborne detection systems[J]. Journal of Systems Engineering and Electronics, 2007, 18(1): 171-176. DOI: 10.1016/S1004-4132(07)60070-X |
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| Authors: | Yang Yan Jing Zhanrong Gao Tian Wang Huilong |
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| Affiliation: | Coll. of Electronic Information Engineering, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China |
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| Abstract: | To aim at the multimode character of the data from the airplane detecting system, the paper combines Dempster- Shafer evidence theory and subjective Bayesian algorithm and makes to propose a mixed structure multimode data fusion algorithm. The algorithm adopts a prorated algorithm relate to the incertitude evaluation to convert the probability evaluation into the precognition probability in an identity frame, and ensures the adaptability of different data from different source to the mixed system. To guarantee real time fusion, a combination of time domain fusion and space domain fusion is established, this not only assure the fusion of data chain in different time of the same sensor, but also the data fusion from different sensors distributed in different platforms and the data fusion among different modes. The feasibility and practicability are approved through computer simulation. |
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| Keywords: | Information fusion Dempster-Shafer evidence theory Subjective Bayesian algorithm Airplane detecting system |
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