Target feature-assisted multi-source data correlation method

A target feature, multi-source data technology, applied in the field of information fusion, can solve the problems of affecting the accuracy of association, low accuracy of association, and no utilization, and achieve the effect of stable classification results, large confidence range, and stable classification results.
CN110109095AActive Publication Date: 2019-08-0910TH RES INST OF CETC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
10TH RES INST OF CETC
Publication Date
2019-08-09

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Abstract

The invention provides a target feature-assisted multi-source data correlation method, aiming to provide a correlation method with high utilization rate of measurement parameters and capable of improving the correlation accuracy of a radar and electronic support measures (ESM). The target feature-assisted multi-source data correlation method is realized through the following technical scheme thataccording to the correlation between heterogeneous features, a correlation classification rule of heterogeneous sensor data is determined, a mapping correlation model of a target motion feature space,a target recognition feature space and a target type space is established, a category identification frame is established, K neighbors being at a distance from target features are found according toa K-K-nearest neighbor-NN rule, and trust assignment is constructed based on the distance between a target and the neighbors of the target, an acceptance threshold value and a rejection threshold value; the features of the target at each sampling time are obtained, and then BK-NN training is carried out on the target features at each t time, local static evidences at corresponding times of the categories are obtained and are integrated to generate a static criterion; and the comprehensive results of dynamic classification of different features are calculated, and the correlation filtering results are obtained.
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Description

technical field

[0001] The invention relates to a method for associating radar and electronic support measures (ESM) based on auxiliary features in the field of information fusion. In particular, the method of linking targets to radar tracks. Background technique

[0002] The correlation between radar and electronic support measures is very important in the multi-sensor information fusion system. The data correlation between active radar and electronic support measures (ESM) is the premise of radar and ESM data fusion. In multi-sensor data fusion, the data fusion of heterogeneous sensors is an important issue. Data correlation between radar and electronic support measures (ESM) sensors is a typical heterogeneous sensor data correlation. The distance, speed, angle and phase of the radar at time k become a key issue. Radar and ESM are important airborne sensors, and they are used in combination to fuse their detection information. During information fusion, the correlation...

Claims

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