Multi-Sensor Data Fusion Based on ADS-B and MLAT in Approach-Reference-Cited by-同舟云学术

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

Published:2014-08 Issue: Volume:602-605 Page:2491-2494
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Lu Yu¹,Huang Rong Shun²,Xu Zi Li²

Affiliation:

1. Sichuan Normal University

2. Civil Aviation Administration

Abstract

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.602-605.2491.pdf

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