Multi-sensor information fusion method based on evidence similarity

A fusion method and multi-sensor technology, applied in the field of multi-sensor information fusion technology and D-S evidence theory, can solve the problems of unsatisfactory synthesis effect and imperfection

Active Publication Date: 2015-11-11
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

At present, many research methods improve the synthesis results of highly conflicting evidence from different angles and aspects and to varying degrees under the assumption that conflicts have been identified, but in general, these methods themselves are not perfect enough. The effect is not ideal

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  • Multi-sensor information fusion method based on evidence similarity
  • Multi-sensor information fusion method based on evidence similarity
  • Multi-sensor information fusion method based on evidence similarity

Examples

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the examples, and the present invention includes but not limited to the following examples.

[0023] The present invention comprises the following steps:

[0024] 1. Represent multi-sensor decision-level data with evidence.

[0025] Synthetic Aperture Radar, Infrared Detectors, and Electronic Support Measures can be installed on multiple reconnaissance platforms for target identification. Constitute all possible target types into a recognition framework Θ, Θ={θ 1 ,θ 2 ,…,θ n}, where θ t (1≤t≤n) represents a target type. Each sensor can be regarded as an evidence source, each evidence source gives a list of candidate target types, and each candidate target type A k Each has a probability assignment m(A k ). Candidate target type A k is called the focal element, m is called the basic probability assignment function on Θ, m(A k ) is called focal element A k Basic probability assignment (Ba...

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Abstract

The present invention provides a multi-sensor information fusion method based on evidence similarity. The method comprises: firstly, representing multi-sensor decision layer data by using evidence; secondly, performing Pignistic probability conversion on each piece of evidence, calculating the similarity between each two pieces of evidence after the conversion, and determining the supporting degree and the reliability degree of each piece of evidence; and finally, correcting an evidence source, and performing evidence synthesis. According to the multi-sensor information fusion method based on evidence similarity, reasonable measurement and correction are performed on the conflict degree by using existing evidence information, so that the influence of conflict evidence is reduced, the generation of an unreasonable result is avoided, the speed of multi-sensor information fusion is increased, and the precision of multi-sensor information fusion is improved.

Description

technical field [0001] The invention relates to a multi-sensor information fusion technology and D-S evidence theory. Background technique [0002] The D-S evidence theory was proposed by Dempster in 1967, and then promoted and developed by Shafer in 1976, forming an uncertain reasoning method. D-S evidence theory, with its advantages in the comprehensive processing of uncertainty and inaccurate information, can better deal with the uncertainty problems caused by randomness and ambiguity without prior probability and conditional probability density. , and by introducing trust function and likelihood function to distinguish "don't know" from "uncertainty", it has been widely used in information fusion, pattern recognition, decision analysis and fault diagnosis and other fields in recent years. [0003] Multi-sensor information fusion refers to the coordinated use of multiple sensors, the integration of local incomplete observations provided by multiple sensors of the same ty...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 张安毕文豪
Owner NORTHWESTERN POLYTECHNICAL UNIV
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