| 基于模糊推理的多传感器数据融合方法 |
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| 引用本文： | 韩红,韩崇昭,朱洪艳,文戎. 基于模糊推理的多传感器数据融合方法[J]. 计算机工程与应用, 2003, 39(16): 9-10,60 |
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| 作者姓名： | 韩红 韩崇昭 朱洪艳 文戎 |
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| 作者单位： | 西安交通大学电信学院,西安,710049 |
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| 基金项目： | 国家973重点基础研究发展规划项目资助(编号:2001CB309403) |
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| 摘 要： | 针对多传感器目标跟踪系统可能出现的传感器漏检现象,提出了一种基于模糊推理的消除漏检现象影响的方法。该算法根据各传感器的量测变化,及时调整参与融合的各传感器量测的数目及其加权系数,保证量测融合值的有效性。通过对两个传感器进行数据融合和目标跟踪的仿真表明,该算法是一种简单有效,有工程应用前景的数据处理算法。该方法同样适用于多于两个传感器的多传感器融合系统。
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| 关 键 词： | 数据融合 模糊推理 相似度 隶属函数 |
| 文章编号： | 1002-8331-(2003)16-0009-02 |
Multi-sensor Data Fusion Method Based on Fuzzy Reasoning |
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| Han Hong Han Chongzhao Zhu Hongyan Wen Rong. Multi-sensor Data Fusion Method Based on Fuzzy Reasoning[J]. Computer Engineering and Applications, 2003, 39(16): 9-10,60 |
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| Authors: | Han Hong Han Chongzhao Zhu Hongyan Wen Rong |
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| Abstract: | For the sensor miss detection in the multi-sensor data fusion target tracking system,a data fusion algorithm based on fuzzy reasoning is studied in this paper.It provides capability to differentiate between inferior and fine mea-surements of multi-sensor,and can adjust the fused sensor's weight adaptive according to changes in the sensor's mea-surement.The entire data fusion and target tracking system is presented which is based on two sensors system.The simu-lation results indicate that the algorithm is efficient and very potential in practical engineering systems.And it can be extended to an arbitrary number of similar or dissimilar synchronous sensors. |
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| Keywords: | Data fusion Fuzzy reasoning Degree of proximity Membership function |
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