Method for fusing measurement data of multi-platform sensors based on D-S reasoning

Abstract

The invention discloses a method for fusing measurement data of multi-platform sensors based on D-S reasoning, comprising the following steps: acquiring measurement data of K types of sensors; estimating a system track by adopting an optimal distributed fusion algorithm to obtain accurate measurement data of the K types of sensors; respectively synthesizing feature information of multi-platform same-type sensors for the measurement data of the K types of sensors obtained in the step 2 by utilizing a Dempster-Shafer evidence reasoning method; updating and optimizing the feature information of the multi-platform same-type sensors by adopting evidences of a Jeffrey rule based on a Bayes method, wherein strong condition mass function update evidences and weak condition mass function update evidences are defined in the rule; performing fusion of feature information on multi-platform different-type sensors according to a method which is the same as the step 3 and the step 4; and performing decision output to obtain total fusion data. The method of the invention solves the problem that large calculation amount and low accuracy can be caused if a conventional collaborative conflict resolution method is directly applied to a multi-platform multi-source heterogeneous sensor system.

Description

technical field [0001] The invention relates to the technical field of multi-platform heterogeneous sensor data fusion, in particular to a D-S reasoning-based multi-platform sensor measurement data fusion method. Background technique [0002] As one of the basic functions of wireless sensors, information perception provides information sources for wireless sensor network applications, but the original sensory information of wireless sensors is characterized by significant multi-source heterogeneity. For a distributed network sensing node, unstable network transmission and out-of-synchronization of nodes often result in missing and discontinuous sensing information, as well as inconsistent temporal and spatial relationships of information. The multi-sensor collaborative conflict resolution process is a comprehensive processing process for multi-source information. In recent years, some new algorithms based on statistical inference, artificial intelligence and new methods of i...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that if the existing collaborative conflict elimination method is directly applied to a multi-platform multi-source heterogeneous sensor system, it will cause a large amount of calculation and low accuracy. The present invention provides a method based on D-S reasoning Optimal distributed multi-sensor cooperative conflict resolution method

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