Information fusion method based on correlator characteristic output

A fusion method and correlator technology, applied in the field of information fusion, can solve problems such as low efficiency, cumbersome data fusion, and no clear physical meaning

Active Publication Date: 2015-01-07
北京国基科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of cumbersome data fusion, low efficiency, and no clear physical meaning in the field of Internet of Things data fusion

Method used

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  • Information fusion method based on correlator characteristic output
  • Information fusion method based on correlator characteristic output
  • Information fusion method based on correlator characteristic output

Examples

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Embodiment 1

[0026] In this embodiment, the specific application such as Figure 4 The information fusion method based on the correlator feature output shown in the Figure 5 The implementation method in the flow chart of multi-sensor positioning information fusion of the management and control platform shown.

[0027] A management and control platform, including radar, GPS, Beidou, AIS and other positioning sensors, which are used for active and passive positioning of targets respectively to meet the management and control needs of the platform. There are obvious differences in the positioning accuracy of various positioning sensors. Moreover, the management and control platform covers a wide area. The platform uses a multi-level information fusion architecture for positioning data fusion. According to the differences in the types of sensors involved in information fusion, it can be divided into homogeneous fusion and heterogeneous fusion. Homogeneous fusion is mainly carried out in t...

Embodiment 2

[0046] In this example, specifically Figure 4 The information fusion method based on the correlator feature output shown in the application in such as Figure 6 The implementation method in the flow chart of the information fusion of the multi-sensor collaborative photographing target shown.

[0047] A platform needs to use trajectory target positioning information and video equipment information to solve the problem of continuous tracking and shooting of moving targets. Considering the initiative and timeliness of positioning, the platform uses radar as the source of positioning data. Considering the practicability of the platform, multi-radar and multi-video cameras are required to coordinate relay work. Here comes the problem of multi-sensor information fusion and collaborative work. The key issues in it are information fusion and target loss caused by the intersection of multiple target trajectories. Accurate calibration and confirmation of targets and prediction of t...

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Abstract

The invention discloses an information fusion method based on a correlator characteristic output, and relates to the field of information fusion. The method includes the following steps: selecting reference sensor data and sensor data to be compared and fused, carrying out space dimensionality reduction on the needed data, processing the data again, confirming data information by means of a correlator, carrying out multi-dimensional space judging on the data, and finally carrying out target calibration and data reorganization. By means of the method that information fusion is carried out on the data output by the corrlator, complexity of information fusion is lowered, and the method is suitable for information fusion of heterogeneous sensors.

Description

technical field [0001] The invention relates to the field of Internet of Things data fusion, and relates to a method for information fusion by using the characteristic output of a correlator. Background technique [0002] IoT is increasingly used across industries. With the development of technology, the perception and cognition capabilities of IoT continue to increase. At present, the multi-sensor network of the Internet of Things is developing towards the fusion of heterogeneous sensor information based on the original information fusion of the same type of sensors. It may not be possible to directly establish data correlation between these sensors. There is not only redundancy between sensor data, but also factors such as sensor accuracy, sampling rate, and system error are different. [0003] Existing information fusion technology is largely based on feature extraction, using the characteristics of data to carry out information fusion work. For example, positioning d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/48
Inventor 邹新生
Owner 北京国基科技股份有限公司
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