Multi-sensor joint detection method based on decision-level and signal-level data fusion

A multi-sensor, data fusion technology, applied in the multi-sensor field, can solve problems such as insufficient information utilization, achieve the effect of solving insufficient information utilization and improving detection performance

CN113038411BActive Publication Date: 2022-04-12UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-04-12

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Abstract

The invention discloses a multi-sensor joint detection method based on decision-level and signal-level data fusion. The observed values ​​are transmitted to the fusion center through different data transfer forms; S3. Establish a joint likelihood function based on prior information; S4. Perform maximum likelihood estimation on unknown parameters; S5. Calculate detection statistics based on the generalized likelihood ratio criterion ; S6, setting the detection threshold by deriving the approximate distribution of the detection statistic; S7, comparing the detection statistic with the detection threshold, and outputting the detection result. Through the joint utilization of multi-source and multi-level data, the present invention can retain as much target information in the data as possible, effectively solving the problem of insufficient information utilization caused by the difficulty of fusion of different levels of data. The decision threshold can further improve the detection performance of the multi-sensor system.
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Description

technical field

[0001] The invention belongs to the field of multi-sensor technology, in particular to a multi-sensor joint detection method based on decision-level and signal-level data fusion. Background technique

[0002] With the continuous development of electronic information technology, a single sensor has been unable to meet the needs of data processing in the era of the Internet of Everything due to its limited sensing range, small amount of data collection, and low information reliability. Therefore, a large number of local sensors with communication interaction and signal processing capabilities are distributed to complete data collection, and then the data of each node is analyzed and utilized according to certain criteria to achieve the required judgment and estimation. Multi-sensor fusion technology has been developed in recent years. to rapid development. Its main feature is that through the multi-level and multi-level information complementation and optimal ...

Examples

Embodiment Construction

[0064] In the case of differences in the communication conditions of the sensors at each node, the present invention uses different forms to transmit data to local observation values; and the fusion center performs information association on multi-source and multi-level data according to the statistical characteristics of the received data; then based on generalized similarity According to the comparison criterion, the global detector is designed, and the detection statistics are calculated; finally, the detection statistics are compared with the detection threshold to realize the joint utilization of different levels of data, and output the global detection results. Compared with the multi-sensor fusion method with a single data level, its detection performance is superior and its applicable scenarios are more flexible. The present invention mainly adopts the method of simulation experiment for verification, and all steps and conclusions are verified to be correct in Matlab201...