Multi-sensor data fusion method based on set pair identity and correlate

Abstract

The invention discloses a multi-sensor data fusion method based on set pair identity and correlate. The multi-sensor data fusion method comprises the following steps of: calculating the mutual support degrees of a plurality of sensors; clustering the plurality of sensors according to the support degrees; and calculating the identity of a target observation value and a sensor feature function, thus obtaining the fusion result of the plurality of sensors with a target attribute, and an objective identification decision. The novel multi-sensor data fusion method can implement data fusion work by combining a fuzzy theory, a statistical theory, correlation functions and fuzzy comprehensive functions, does not need to suppose that the senor feature function obeys Guass distribution, and can overcome uncertainty in the data fusion process and obtain an objective and credible result which accords with a practical result.

Description

【Technical field】 [0001] The invention relates to the technical field of sensor data fusion. 【Background technique】 [0002] Data fusion is also called information fusion or multi-sensor data fusion. Multi-sensor data fusion is a data fusion method recognized by practice with low operating cost and can obtain more accurate and reliable conclusions than single sensor. Multi-sensor data fusion technology is fully Using multiple sensor resources, through the reasonable control and use of multiple sensors and their observation information, the redundant or complementary information of multiple sensors in space or time is combined according to a certain criterion to obtain a consistent interpretation of the measured object. Or describe, but in actual work, it is difficult to ensure that the characteristic function of the sensor obeys the Guass distribution, and the data obtained by multiple sensors cannot be guaranteed to be independent of each other, and there is uncertainty in ...

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Problems solved by technology

[0002] Data fusion is also called information fusion or multi-sensor data fusion. Multi-sensor data fusion is a data fusion method recognized by practice with low operating cost and can obtain more accurate and reliable conclusions than single sensor. Multi-sensor data fusion technology is fully Using multiple sensor resources, through the reasonable control and use of multiple sensors and their observation information, the redundant or complementary information of multiple sensors in space or time is combined according to a certain criterion to obtain a consistent interpretation of the measured object. Or describe, but in actual work, the characteristic function of the sensor is difficult to guarantee to obey the Guass distribution, and the data obtained by multiple sensors cannot be guaranteed to be independent of each other, and the data conveyed by multiple sensors is uncertain

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