New Data Fusion Techniques for High-Precision Localization of Civil-Engineering Equipment

1997 ◽  
Author(s):  
Ph. Bonnifait ◽  
F. Peyret ◽  
G. Garcia
Keyword(s):  
Data Fusion ◽  
High Precision ◽  
Civil Engineering ◽  
Engineering Equipment

Multi-Sensor Data Fusion Based on ADS-B and MLAT in Approach

2014 ◽  
Vol 602-605 ◽  
pp. 2491-2494
Author(s):  
Yu Lu ◽  
Rong Shun Huang ◽  
Zi Li Xu
Keyword(s):  
Data Fusion ◽  
High Precision ◽  
Traffic Control ◽  
Kalman Filters ◽  
Tracking System ◽  
High Accuracy ◽  
Experimental Results ◽  
Sensor Data ◽  
Multi Sensor Data Fusion ◽  
Fusion Framework

ADS-B (Automatic Dependent Surveillance - Broadcast) and MLAT (Multilateration) are the main surveillance techniques for ATC (Air Traffic Control), and will play an important role in the future's tracking system. The fusion between ADS-B and MLAT is able to achieve more accurate tracking. In views of the data characters of these two techniques, this paper designs a concrete fusion framework with multi-levels based on federal Kalman filters to fuse ADS-B and MLAT in approach. Under this framework, both ADS-B and MLAT data are processed intensively to achieve high accuracy. Experimental results based on simulation and practical data illustrate the algorithm can achieve high precision.

Correction of Atmospheric Effect in EnviSAT ASAR Repeat-Pass Interferometry with MODIS Water Vapor

2014 ◽  
Vol 580-583 ◽  
pp. 2824-2827
Author(s):  
Guang Tong Sun ◽  
Ping Song ◽  
Xiao Yang Liu
Keyword(s):  
Water Vapor ◽  
Data Fusion ◽  
High Precision ◽  
Surface Deformation ◽  
Atmospheric Correction ◽  
Correction Method ◽  
Atmospheric Effect ◽  
Key Technology ◽  
Envisat Asar

The atmospheric phase delay due to tropospheric water vapor has been one of the major limitations for the application of high precision repeat pass InSAR. In this paper, we present the atmospheric correction methods and key technology for ASAR interferograms with MODIS integrated water vapor data, then, conduct the atmospheric corrections using ASAR interferometric pair over the Taiyuan region as examples. The experimental results show that the MODIS\ASAR atmospheric correction method can greatly improve the quality of interferogram, and the deformation inversion accuracy can be significantly improved, verify the necessity and reliability of MODIS and ASAR data fusion for obtaining information of surface deformation.

Multi-Structural Non-Linear Data Fusion Method

2014 ◽  
Vol 530-531 ◽  
pp. 554-560
Author(s):  
Zhi Hua Gong ◽  
Peng Wei Duan ◽  
Yong Guang Li ◽  
Rui Yue
Keyword(s):  
Data Fusion ◽  
High Precision ◽  
Control Mode ◽  
Hermite Function ◽  
Fusion Method ◽  
Trajectory Parameter ◽  
And Function ◽  
Trajectory Measurement ◽  
And Control ◽  
Measurement And Control

In systematic measurement and control mode composed of optics, radar and telemetry, trajectory measurement is in need of high precision. So, based on exterior trajectory parameter expressed by Hermite function, this paper proposes a multi-structure data fusion method with multisource heterogeneous measuring elements, which is called function restraint EMBET method. Based on the fusion simulation calculation and analysis of the same data of multisource heterogeneous measuring elements both using general EMBET method and function restraint EMBET method, it is proved that function restraint EMBET method is sensitive to errors, besides, it have the advantage of strong practicability and high precision.

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