Estimation of aircraft distances using transponder signal strength information

The Federal Aviation Administration has recently mandated the installation of transponders that provide position reporting (Extended Mode S) in aircraft operating in most types of domestic controlled airspace by January 1, 2020. The resulting proliferation of aircraft transponder data has accelerate...

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Main Author: John H. Mott
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2018.1466619
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spelling doaj-dd6d82833c844db4a4f40a284e13e22d2021-03-02T14:46:47ZengTaylor & Francis GroupCogent Engineering2331-19162018-01-015110.1080/23311916.2018.14666191466619Estimation of aircraft distances using transponder signal strength informationJohn H. Mott0Purdue UniversityThe Federal Aviation Administration has recently mandated the installation of transponders that provide position reporting (Extended Mode S) in aircraft operating in most types of domestic controlled airspace by January 1, 2020. The resulting proliferation of aircraft transponder data has accelerated the potential for the use of such data in measuring operations counts at nontowered airports, as it may be easily collected with an inexpensive receiver and analyzed with appropriate algorithms. While many of the data (Basic Mode S and Mode C) do not include aircraft position information, the portion of Extended Mode S data that do may be used to directly compute the distance of the corresponding aircraft from a receiver located at an airport of interest. This article describes a method by which these computed distances may be utilized to calibrate an adaptive digital filter that can subsequently estimate distances for the remainder of the transponder records that do not provide position information. The digital filter is a combined first-order Butterworth low-pass filter and a Rayleigh maximum likelihood estimator for the signal variance. The resulting distance estimates from two different antenna installations exhibited median absolute deviations of 0.92 and 1.12 nm per transponder record, respectively, within 5.0 nm of the receiver. These accuracies are sufficient for the estimation of aircraft operations counts at nontowered airports.http://dx.doi.org/10.1080/23311916.2018.1466619adaptive estimationdigital filteringrayleigh channelstransponders
collection DOAJ
language English
format Article
sources DOAJ
author John H. Mott
spellingShingle John H. Mott
Estimation of aircraft distances using transponder signal strength information
Cogent Engineering
adaptive estimation
digital filtering
rayleigh channels
transponders
author_facet John H. Mott
author_sort John H. Mott
title Estimation of aircraft distances using transponder signal strength information
title_short Estimation of aircraft distances using transponder signal strength information
title_full Estimation of aircraft distances using transponder signal strength information
title_fullStr Estimation of aircraft distances using transponder signal strength information
title_full_unstemmed Estimation of aircraft distances using transponder signal strength information
title_sort estimation of aircraft distances using transponder signal strength information
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2018-01-01
description The Federal Aviation Administration has recently mandated the installation of transponders that provide position reporting (Extended Mode S) in aircraft operating in most types of domestic controlled airspace by January 1, 2020. The resulting proliferation of aircraft transponder data has accelerated the potential for the use of such data in measuring operations counts at nontowered airports, as it may be easily collected with an inexpensive receiver and analyzed with appropriate algorithms. While many of the data (Basic Mode S and Mode C) do not include aircraft position information, the portion of Extended Mode S data that do may be used to directly compute the distance of the corresponding aircraft from a receiver located at an airport of interest. This article describes a method by which these computed distances may be utilized to calibrate an adaptive digital filter that can subsequently estimate distances for the remainder of the transponder records that do not provide position information. The digital filter is a combined first-order Butterworth low-pass filter and a Rayleigh maximum likelihood estimator for the signal variance. The resulting distance estimates from two different antenna installations exhibited median absolute deviations of 0.92 and 1.12 nm per transponder record, respectively, within 5.0 nm of the receiver. These accuracies are sufficient for the estimation of aircraft operations counts at nontowered airports.
topic adaptive estimation
digital filtering
rayleigh channels
transponders
url http://dx.doi.org/10.1080/23311916.2018.1466619
work_keys_str_mv AT johnhmott estimationofaircraftdistancesusingtranspondersignalstrengthinformation
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