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Multi-sensor data fusion algorithm target tracking system
Author: WangXiu
Tutor: RongJian
School: University of Electronic Science and Technology
Course: Optics
Keywords: Data Fusion Neural Networks Fuzzy Logic Kalman filter Weighted data fusion
CLC: TP212.9
Type: Master's thesis
Year: 2008
Downloads: 365
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Abstract
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The rapid development of science and technology as well as the complexity of the field of military and non - military technology is growing, urgently requires people to take advantage of the new technology means too much information to digest , interpret and evaluate . As a result, people are increasingly aware of the importance of data integration . Target tracking there is a wide range of applications in both military and non-military , sensors have become a necessary part of the target tracking system , in order to better improve the tracking performance of the system , it is necessary to conduct in-depth research on multi- sensor data fusion algorithms . This paper summarizes the history of the development of maneuvering target tracking data fusion algorithm to study the current situation and the future direction of development . Then introduces the track fusion system in some of the basic algorithms and a fusion algorithm using Matlab , and on this basis to build a fusion algorithm performance assessment system . In the tracking system, the measurement system noise may change with the surrounding environment to change , while the acceleration of the target may also be in a short period of time changing many algorithms , the present can be a better solution in which any one , but when both of which may occur in the tracking process , a preferred algorithm is not able to effectively deal . In order to solve this problem, by combining different algorithms and models to the same fusion system , in papers attempt proposed a new fusion algorithm , neural networks and fuzzy logic algorithm combines the complementary advantages . In order to verify the performance of this new algorithm , the paper using the algorithm performance assessment system gives the test results , from the results, the algorithm to solve the above problems , but it also has some limitations .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor > Sensor applications
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