Research of Asynchronous Multi-Type Sensors Data Fusion

Y. Qin; Xue Hui Wang; Ming Jun Feng; Zhen Zhou; L.J. Wang

doi:10.4028/www.scientific.net/AMR.142.16

Paper Titles

Preface

Technology and Characteristic of Wool Ring Spun Compound Yarn
p.1

A Co-Evolutionary Contract Net-Based Framework for Distributed Manufacturing Execution Systems
p.6

The Research on Cutting Force in High-Speed Milling Process of Aluminum Alloy Impeller
p.11

Research of Asynchronous Multi-Type Sensors Data Fusion
p.16

Researcher of Region Growing Medical Image Segmentation Based on Adaboost Algorithm
p.21

Trail Investigation on Chip of High-Speed and Dry Cutting on Hardened Steel with PCBN Tool
p.26

Simulate Measure for Spring Back of Autobody Panel's Edge
p.31

Reconfigurable Clamping Device Based on Memory Alloy, Orientation Disc, Majority Column and Telescopic Pole
p.35

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Research of Asynchronous Multi-Type Sensors Data Fusion

Abstract:

A data fusion algorithm was established for estimating the state of target tracking system with multi-type sensor. Through Kalman filter regarding the multi-sensors to computer goal estimated value, it can obtain estimation value of goal at moment. And mean square deviation of fusion estimation value was smaller than single sensor's mean square deviation. The simulation results indicated that synchronisms data fusion method was effective to the multi-target tracking problem. Asynchronous multi-sensor fusion process can obtain good control effect in the practice control process.