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

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.

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 ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a joint utilization of multi-source and multi-level data, which can retain as much target information in the data as possible, and effectively solve the problem of information fusion caused by the difficulty of fusion of different levels of data. Insufficient utilization, and a multi-sensor joint detection method based on decision-level and signal-level data fusion that can further improve the detection performance of multi-sensor systems

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