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A multi-sensor data weighted fusion method

A weighted fusion, multi-sensor technology, used in instruments, character and pattern recognition, computer parts and other directions, can solve the problems of poor fusion effect and low fusion accuracy, and achieve reasonable, easy engineering application, and high fusion accuracy. Effect

Active Publication Date: 2018-12-11
中国人民解放军陆军炮兵防空兵学院郑州校区
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem mainly solved by the present invention is that the existing multi-sensor data weighted fusion method has low fusion accuracy and poor fusion effect

Method used

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  • A multi-sensor data weighted fusion method
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  • A multi-sensor data weighted fusion method

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Embodiment Construction

[0030] In order to facilitate the understanding of the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0031] It should be noted that, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by those skilled in the technical field of the present invention. Terms used in the description of the present invention are only for the purpose of describing specific embodiments, and are not used to limit the present invention.

[0032] ...

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Abstract

The invention discloses a multi-sensor data weighted fusion method, which is used for a distributed multi-sensor detection system and belongs to the technical field of multi-sensor information fusion.The method comprising the steps of 1) taking i (i=1, 2, 3,.., N) and all the data before the k-th time as a group, filtering and correcting the k-th measurement data according to the group data, replacing the k-th measurement data with the corrected data, and participating in the correction of the next measurement data; 2) carrying out weighted fusion among the N sensors on the corrected measurement data; 3) combining all the fused data into a fused data group, and performing secondary weighting fusion on the data of the fused data group. The method corrects the measured data of sensors and accurately calculates the data fusion weights of different sensors, so as to improve the data fusion accuracy of sensors, and make the results of distributed multi-sensor fusion closer to the actual situation and more reliable.

Description

technical field [0001] The invention relates to the field of multi-sensor information fusion, in particular to a multi-sensor data weighted fusion method. Background technique [0002] In a distributed multi-sensor detection system, multiple sensors are often used to measure the same parameter repeatedly, and the detection accuracy of the system is improved through data fusion. There are many methods for data fusion. Compared with the subjective arbitrariness and modeling limitations in the practical application of Bayesian decision-making and neural network and other fusion technologies, the weighted fusion method does not require prior information and has relatively high fusion accuracy. advantages have received widespread attention. However, the multi-sensor data weighted fusion methods in the prior art all use the original measurement data of the sensors for inter-sensor data fusion, and do not consider filtering the original measurement data of the sensors, resulting i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/25
Inventor 杨军佳赵瑞峰王世军纳学柱刘志青
Owner 中国人民解放军陆军炮兵防空兵学院郑州校区
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