| 非信任环境中一致卡尔曼滤波的数据融合算法 |
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| 引用本文： | 白辉,卢光跃,王晓侃.非信任环境中一致卡尔曼滤波的数据融合算法[J].西安邮电学院学报,2012,17(5):10-14. |
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| 作者姓名： | 白辉 卢光跃 王晓侃 |
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| 作者单位： | 西安邮电大学通信与信息工程学院,陕西西安,710121 |
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| 基金项目： | 国家自然科学基金资助项目，陕西省教育厅自然科学研究基金资助项目 |
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| 摘 要： | 针对非信任环境下数据融合时感知数据的可靠性问题,提出了此环境下攻击节点判定算法,并采用一致估计的分布式卡尔曼滤波算法实现动态目标跟踪。该算法能有效识别攻击节点并对其篡改数据做相应处理,减小篡改数据对数据融合的影响。仿真结果验证了所提算法的有效性,准确实现了动态目标跟踪。
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| 关 键 词： | 一致滤波 无线传感器网络 卡尔曼滤波 |
Data fusion algorithm based on consensus Kalman filter in untrustworthy environment |
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| BAI Hui,LU Guangyue,WANG Xiaokan.Data fusion algorithm based on consensus Kalman filter in untrustworthy environment[J].Journal of Xi'an Institute of Posts and Telecommunications,2012,17(5):10-14. |
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| Authors: | BAI Hui LU Guangyue WANG Xiaokan |
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| Affiliation: | (School of Communication and Information Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,China) |
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| Abstract: | Due to the reliability of data fusion in an untrustworthy environment,by adopting the distributed consensus Kalman filter algorithm to track the dynamic target in the monitoring area,an algorithm for detecting the attacking nodes in the system is proposed.The algorithm can effectively identify the attacking nodes and reduce the influence of the tampered data on the final result of data fusion.The simulation results demonstrate the effectiveness of the proposed algorithm and realize the dynamic target tracking accurately. |
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| Keywords: | consensus filter wireless sensor networks Kalman filter |
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