| 基于偏差的多传感器目标级融合方法 |
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| 引用本文： | 万树平.基于偏差的多传感器目标级融合方法[J].传感器与微系统,2009,28(1):22-23. |
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| 作者姓名： | 万树平 |
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| 作者单位： | 江西财经大学,信息管理学院,江西,南昌,330013 |
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| 基金项目： | 国家自然科学基金，江西省教育厅科技计划项目 |
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| 摘 要： | 针对具有多个特征指标的目标识别问题，提出了一种新的模糊传感器数据融合方法。该方法由最大最小隶属度函数得到相对距离矩阵，通过求解总偏差最小的数学规划问题，确定各特征的权重，从而给出目标识别算法，提高了目标识别结果的客观性。应用实例验证了算法的有效性。
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| 关 键 词： | 模糊多传感器 数据融合 目标识别 偏差 |
Multi-sensor fusion method on object-level based on deviation |
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| WAN Shu-ping.Multi-sensor fusion method on object-level based on deviation[J].Transducer and Microsystem Technology,2009,28(1):22-23. |
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| Authors: | WAN Shu-ping |
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| Affiliation: | WAN Shu-ping(College of Information Technology,Jiangxi University of Finance , Economic,Nanchang 330013,China) |
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| Abstract: | Aimed at the object recognition problem with multiple characteristic indices,a new fusion method for the fuzzy sensor data is proposed.The method introduces the max-min membership degree function to define the relative distance matrix.By solving the mathematical programming of minimizing total deviations,the weights of characteristic indices are determined.Hence,the algorithm of object recognition is given.The method improves the objectivity of recognition result.The applied example proves that the method i... |
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| Keywords: | fuzzy multi-sensor data fusion object recognition deviation |
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