Data fusion method and device for multi-source heterogeneous sensors

A data fusion and sensor technology, applied in the field of data fusion, can solve problems such as inaccurate positioning and high computational complexity, and achieve the effects of optimizing tracking effects, efficient fusion, and improving algorithm accuracy

Inactive Publication Date: 2014-07-23
MONITORING & CONTROL SYST ENG RES INST CHINESE PEOPLES LIBERATION ARMY AIR FORCE INST OF WARNING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above problems, the purpose of the present invention is to provide a multi-source heterogeneous sensor data fusion method and device, aiming to solve the technical problems of high computational complexity and inaccurate positioning in existing data fusion methods

Method used

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  • Data fusion method and device for multi-source heterogeneous sensors

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Embodiment 1

[0027] figure 2 The flow of the multi-source heterogeneous sensor data fusion method provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.

[0028] Step S21 , acquiring the measurement data of each sensor, and using the spline fitting method to time-align the measurement data with asynchronous time and inconsistent frequency, and unify them to a time point.

[0029] The measurement output of the sensor is a data sequence. Since the acquisition frequency and acquisition time interval of different sensors are different, the measurement data output by each sensor is not synchronized. This step realizes the time alignment of the measurement data of different sensors and unifies them into one on time. Specifically include:

[0030] S211. Construct a cubic spline interpolation function for each sensor, and obtain a smooth curve through spline interpolation fitti...

Embodiment approach

[0102] Further as a preferred implementation manner, the step S24 also includes:

[0103] S240. After using the initial value of the target position as a reference point, adjust the position of the reference point.

[0104] The target position estimate obtained by formula (11) is estimated in Cartesian coordinates. The measurement is carried out in the polar coordinate system. Estimates of target positions that appear accurate in Cartesian coordinates may be inaccurate when viewed in polar coordinates. In the case of inaccurate estimation of the target position, the position estimation of formula (11) cannot be directly used as the reference point, and the position of the reference point needs to be adjusted at this time. For a passive sensor, if it measures (β i ,ε i ) T Satisfies formula (19), it is considered that the estimated target position not allowed.

[0105] λ i = [ ...

Embodiment 2

[0115] Figure 8 The structure of the multi-source heterogeneous sensor data fusion device provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.

[0116] The multi-source heterogeneous sensor data fusion device provided in this embodiment includes:

[0117] The time alignment module 81 is used to obtain the measurement data of each sensor, and use the spline fitting method to time-align the measurement data with time asynchronous and inconsistent frequencies, and unify them to a time point;

[0118] The first fusion module 82 is used to group the aligned measurement data according to the sensor category and accuracy;

[0119] The second fusion module 83 is used to select a group of data with higher precision from the grouped data for intra-group combination and / or select two groups of data with higher precision for inter-group combination to provide complete...

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Abstract

The invention belongs to the technical field of data fusion, and provides a data fusion method and device for multi-source heterogeneous sensors. The method comprises the steps that measurement data of the various sensors are acquired, and time alignment is carried out on measurement data which are asynchronous in time and inconsistent in frequency through the spline fitting method; the measurement data obtained after alignment are grouped according to the classes and precision of the sensors; intra-group or inter-group combination is carried out on the grouped data, integrated measurement data of a target are provided, and preliminary estimation is carried out on the position of the target; linear transformation is carried out on a measurement equation with the preliminary estimation value of the position of the target as a reference point, and secondary estimation is carried out on the position of the target based on the weighted least square method. According to the data fusion method and device for the multi-source heterogeneous sensors, the three-layer fusion locating strategy is adopted, a monitoring system can acquire a high-precision target location value quickly, various kinds of target information collected by the acoustic/optical/electric sensors or other types of sensors at the front end of the system are fused more efficiently, and therefore the monitoring and commanding efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of data fusion, and in particular relates to a multi-source heterogeneous sensor data fusion method and device. Background technique [0002] At present, the monitoring and command system usually uses visible light / infrared composite photoelectric detection technology, radio detection technology, and radar detection technology as detection methods, and adopts a tracking strategy of active / passive sensors that guide each other and confirm each other to form a comprehensive situation in the monitoring area. In order to realize the seamless relay tracking of targets in the monitoring area, it is necessary to propose a fast and effective multi-source heterogeneous sensor system data fusion for the measurement information of various systems such as optoelectronics, radar, and radio in the system and different sampling rates. algorithm. [0003] In data fusion, there are separate theoretically achievable methods ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 刘洋徐毓黄伟平李锋
Owner MONITORING & CONTROL SYST ENG RES INST CHINESE PEOPLES LIBERATION ARMY AIR FORCE INST OF WARNING
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