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Flight path fusion method

A track fusion and matrix technology, applied in the field of track fusion, can solve the problems of uncertainty of observation information and performance degradation of correlation fusion

Inactive Publication Date: 2012-01-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of reduced fusion performance due to the uncertainty and correlation of the observation information provided by each sensor in the existing step-by-step filtering track fusion method, and proposes a track fusion method

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0053] Such as figure 1 As shown, the track fusion method of the present invention comprises the following steps:

[0054] S1. Using the preprocessed multi-sensor observation information to establish a relative distance matrix between data;

[0055] S2. Calculate the support function according to the relative distance matrix obtained in step S1, obtain the support matrix, establish a system of equations, and solve the weighting factor;

[0056] S3. Multiply the weight factor of each sensor obtained in step S2 with its corresponding observation value, respectively filter to obtain the corresponding filter value, and add all the obtained filter values ​​to obtain the filter fusion value after the observation coefficient;

[0057] S4. Using the filter fusion value obtained in step S3 as the input value of the state update, use the Kalman filter ...

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Abstract

The invention belongs to the technical field of multisource information fusion, and discloses a flight path fusion method. The flight path fusion method comprises the following steps of: establishing a relative distance matrix between data by using observation information of a plurality of sensors; computing a support threshold function to obtain a support threshold matrix, establishing an equation set, and solving a weighting factor; multiplying the weighting factor with a corresponding observed value, obtaining corresponding filter values respectively through filtering, and adding all obtained filter values to obtain a filter fusion value with an observation coefficient; and updating an estimated value of target state step by step by using Kalman filtering, wherein the filter fusion value serves as a state updating input value. In the invention, as the filter fusion of the observation coefficient is carried out through the observation information of the plurality of sensors, influence on the fusion of flight paths due to the uncertainty of the observation information is reduced under the condition that data processing complexity is not increased; and correlation of the observation information is taken into consideration during the filter fusion of the observation coefficient, so that observation accuracy is increased, and the reliable tracking of a target is obtained.

Description

technical field [0001] The invention belongs to the technical field of multi-source information fusion, and in particular relates to a track fusion method. Background technique [0002] Facing the increasingly complex information environment and the diversity of information representation forms, the huge amount of information, the complexity of the relationship between information, and the requirement of real-time information processing, not only exceeds the comprehensive processing ability of the human brain, but also a single The measurement information of sensors has inaccuracy, unreliability, inconsistency and incompleteness. Therefore, it is necessary to rely on multi-sensor cooperation and use multi-sensor information fusion technology to comprehensively optimize and process information to obtain the state of the observation target to the maximum extent. , features and other complete information to achieve precise positioning and tracking of targets. Information fusio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20
Inventor 全丽张可张伟陈华谢家泽
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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