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Registration algorithm for sensor alignment based on stochastic fuzzy neural network

机译:基于随机模糊神经网络的传感器对准配准算法

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摘要

Multiple sensor registration is an important link in multi-sensors data fusion. The existed algorithm is all based on the assumption that system errors come from a fixed deviation set. But there are many other factors, which can result system errors. So traditional registration algorithms have limitation. This paper presents a registration algorithm for sensor alignment based on stochastic fuzzy neural network (SNFF), and utilized fuzzy clustering algorithm obtaining the number of fuzzy rules. Finally, the simulative result illuminate that this way could gain a satisfing result.
机译:多传感器配准是多传感器数据融合中的重要环节。现有算法全部基于系统误差来自固定偏差集的假设。但是还有许多其他因素可能导致系统错误。因此传统的注册算法具有局限性。提出了一种基于随机模糊神经网络(SNFF)的传感器对准配准算法,并利用模糊聚类算法获得了模糊规则的数量。最后,仿真结果表明,这种方法可以获得满意的结果。

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