| 多传感器支持度和自适应加权时空融合算法 |
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| 引用本文： | 张佳薇,姜滨,金光远.多传感器支持度和自适应加权时空融合算法[J].机电产品开发与创新,2009,22(6):23-25. |
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| 作者姓名： | 张佳薇 姜滨 金光远 |
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| 作者单位： | 东北林业大学,黑龙江,哈尔滨,150040 |
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| 基金项目： | 中国博士后科学基金，黑龙江省青年专项基金 |
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| 摘 要： | 针对多传感器测量数据中含有的噪声,提出一种基于多传感器支持度和自适应加权时空融合算法。时空融合算法将数据融合分解为时间和空间两次融合估计,先采用支持度和基于时间的递推估计进行第一次融合,再通过自适应加权估计在空间上进行第二次融合。该算法不需要知道传感器测量数据的任何先验知识,只利用空间位置中多传感器的方差变化,通过调整参与融合的各传感器的加权系数,使融合系统均方误差始终最小。
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| 关 键 词： | 多传感器 数据融合 支持度 自适应 时空融合 |
Support Degree and Adaptive Weighted Spatial-temporal Fusion Algorithm of Multi-sensor |
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| ZHANG Jia-Wei,JIANG Bin,JIN Guang-Yuan.Support Degree and Adaptive Weighted Spatial-temporal Fusion Algorithm of Multi-sensor[J].Development & Innovation of Machinery & Electrical Products,2009,22(6):23-25. |
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| Authors: | ZHANG Jia-Wei JIANG Bin JIN Guang-Yuan |
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| Affiliation: | (CoUege of Machinery and Electron Engineering, Northeast Forestry University, Harbin Heilongjiang 150040, China) |
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| Abstract: | According to the noise contained in many sensor data,an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed.In this algorithm,there is no need to know any prior knowledge the of sensors measurement data,only minimizing variance of the fusion system all the time by using sensor variance changes in space position and adjusting weighting coefficients of each sensor fusion of weighted fusion system. |
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| Keywords: | multi-sensor data fusion support degree adaptability spatial-temporal fusion |
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