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ADS-B Assisted Weather Information Sensing and Downloading

IP.com Disclosure Number: IPCOM000250416D
Publication Date: 2017-Jul-12
Document File: 4 page(s) / 273K

Publishing Venue

The IP.com Prior Art Database

Related People

Haiming Wang, Jinghua Zheng: INVENTOR

Abstract

Weather data is one of the most safety critical feature required in an aircraft. The aircraft is mounted with multiple weather sensors which can sense the weather conditions corresponding to a flight path. Communication units are provided in the aircraft to obtain weather data from ground stations and other aircrafts. Currently analysis of the obtained weather data may not provide an accurate weather situation. This paper talks about a data fusion mechanism which can fuse data received from multiple sources of weather information. Relevant data corresponding to the aircraft flight plan is extracted from the fused data. Based on analysis of the fused data, the weather situation can be classified. Data transmission intervals between the aircraft and the ground stations can be decided based on the weather data classification. The fused data can be used as strategic input to an airborne radar system and can be used to optimize the airborne radar system reception.

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ADS-B Assisted Weather Information Sensing and Downloading

Haiming Wang, Jinghua Zheng

ABSTRACT

Weather data is one of the most safety critical feature required in an aircraft. The

aircraft is mounted with multiple weather sensors which can sense the weather

conditions corresponding to a flight path. Communication units are provided in the

aircraft to obtain weather data from ground stations and other aircrafts. Currently

analysis of the obtained weather data may not provide an accurate weather

situation. This paper talks about a data fusion mechanism which can fuse data

received from multiple sources of weather information. Relevant data corresponding

to the aircraft flight plan is extracted from the fused data. Based on analysis of the

fused data, the weather situation can be classified. Data transmission intervals

between the aircraft and the ground stations can be decided based on the weather

data classification. The fused data can be used as strategic input to an airborne

radar system and can be used to optimize the airborne radar system reception.

1. INTRODUCTION

Automatic dependent surveillance – broadcast (ADS–B) is a surveillance technology in

which an aircraft determines its position via satellite navigation and periodically

broadcasts it, enabling it to be tracked. The information can be received by air traffic

control ground stations and other aircrafts to provide situational awareness and allow

self-separation.

Weather data information is one of the most safety critical requirements for an aircraft

while flying. Multiple sources of information are available for the aircraft which can

include, but is not limited to weather radar and other weather sensors kept in the

aircraft, data from ground stations etc. Each aircraft is capable of sensing and detecting

the weather information corresponding to the area of flight of the aircraft. The data

received from ground stations contain the information corresponding to the area

requested by the aircraft. As of now, there is no well-accepted mechanism which can

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fuse weather data received from multiple aircrafts and ground stations. Further, current

data analysis does not correlate data from multiple sources.

2. PROPOSED SOLUTION OF THE PROBLEM

The proposed solution consists of an aircraft with an ADS-B fusion function which can

receive meteorological information data from multiple aircrafts to create a fused ADS-B

data. The fused ADS-B data is used for adjusting and optimizing sensing and detection

function of airborne weather radar system. The relevant weather information

corresponding to a defined range within the flight route of the aircraft can be extracted

from the fused ADS-B data. The extracted weather information is classified into

good/bad and safety-critical/non-safety critical weather situation. The weather situation

is identified by using the extracted weather information and is then classified as a

bad/safety-critical weather situation or a good/non-safety critical weather s...