A multi-sensor attitude data fusion method and system based on a neural network

A multi-sensor and neural network technology, applied in the field of multi-sensor data fusion, can solve the problems of improved data fusion accuracy, larger calculation amount, and fewer sensor data types, so as to achieve the effect of improving measurement accuracy and good robust adaptability
CN109409431AActive Publication Date: 2019-03-01JILIN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
JILIN UNIV
Publication Date
2019-03-01

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Abstract

The invention discloses a multi-sensor attitude data fusion method and system based on a neural network. The method comprises the following steps: generating original attitude data through a pluralityof sensors; Taking the original attitude data as the input of the convolutional neural network, and taking the attitude data output after the convolution layer, the pooling layer, the full connectionlayer and the first activation function as the output of the convolutional neural network for output; Taking the output of the convolutional neural network as the input of the artificial neural network; and according to a preset general kernel structure, not outputting input of a preset node corresponding to any hidden layer of the artificial neural network through a second activation function, and outputting the input of the remaining nodes corresponding to any hidden layer through a second activation function, and outputting the attitude angle data output by the neuron node of the hidden layer at the tail end as the output of the artificial neural network. According to the fusion method, the convolutional neural network and the optimized artificial neural network are effectively combined, so that the measurement precision of the attitude angle data is improved.
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Description

technical field

[0001] The present invention relates to the technical field of multi-sensor data fusion, in particular, to a neural network-based multi-sensor data fusion method and system. Background technique

[0002] Multi-sensor data fusion is a technology that comprehensively processes and optimizes the acquisition, representation and internal relations of various information. It processes and synthesizes from the perspective of multi-information, and obtains the internal connections and laws of various information, thereby eliminating useless and wrong information, retaining correct and useful components, and finally achieving the purpose of information optimization. The fusion method for multi-sensor attitude data has also become one of the most critical issues in many industrial application fields.

[0003] Disclosed in the related art is a miniature strapdown attitude system and its working method, which relates to a multi-sensor data fusion technology based on MEM...

Claims

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