Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon

Abstract This study addresses a signal processing technique in a search and rescue system. An international disaster rescue communications support programme such as COSPAS‐ search and rescue satellite‐aided tracking (SARSAT) estimates the position of a beacon based on time difference of arrival (TDO...

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Main Authors: Jung‐Hoon Lee, Young‐Jin Song, In‐Cheol Jeong, Jong‐Hoon Won
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:IET Radar, Sonar & Navigation
Online Access:https://doi.org/10.1049/rsn2.12112
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spelling doaj-73e925759cc745e6b4eeb486dd7cceed2021-09-14T05:24:19ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-10-0115101297130810.1049/rsn2.12112Improved position estimation method for locating an encrypted COSPAS‐SARSAT beaconJung‐Hoon Lee0Young‐Jin Song1In‐Cheol Jeong2Jong‐Hoon Won3Department of Electrical and Computer Engineering Inha University Incheon KoreaDepartment of Electrical and Computer Engineering Inha University Incheon KoreaSatellite Technology Research Group Electronics and Telecommunications Research Institute Daejeon KoreaDepartment of Electrical and Computer Engineering Inha University Incheon KoreaAbstract This study addresses a signal processing technique in a search and rescue system. An international disaster rescue communications support programme such as COSPAS‐ search and rescue satellite‐aided tracking (SARSAT) estimates the position of a beacon based on time difference of arrival (TDOA) and frequency difference of arrival (FDOA) techniques. To backtrack signals from encrypted beacons without knowing the encryption codes, the cross ambiguity function (CAF) is proposed to estimate the TDOA and FDOA, in which high sampling rates are needed to increase the positioning accuracy of existing CAF algorithms, which entail high calculation loads. To overcome this, an interpolation method is proposed for peaks of Fourier transform capable of maintaining high accuracy at low calculation loads after a well‐performed initial acquisition. The numerical simulation shows an improved estimation accuracy of the proposed algorithm compared with existing peak detection methods.https://doi.org/10.1049/rsn2.12112
collection DOAJ
language English
format Article
sources DOAJ
author Jung‐Hoon Lee
Young‐Jin Song
In‐Cheol Jeong
Jong‐Hoon Won
spellingShingle Jung‐Hoon Lee
Young‐Jin Song
In‐Cheol Jeong
Jong‐Hoon Won
Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
IET Radar, Sonar & Navigation
author_facet Jung‐Hoon Lee
Young‐Jin Song
In‐Cheol Jeong
Jong‐Hoon Won
author_sort Jung‐Hoon Lee
title Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
title_short Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
title_full Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
title_fullStr Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
title_full_unstemmed Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
title_sort improved position estimation method for locating an encrypted cospas‐sarsat beacon
publisher Wiley
series IET Radar, Sonar & Navigation
issn 1751-8784
1751-8792
publishDate 2021-10-01
description Abstract This study addresses a signal processing technique in a search and rescue system. An international disaster rescue communications support programme such as COSPAS‐ search and rescue satellite‐aided tracking (SARSAT) estimates the position of a beacon based on time difference of arrival (TDOA) and frequency difference of arrival (FDOA) techniques. To backtrack signals from encrypted beacons without knowing the encryption codes, the cross ambiguity function (CAF) is proposed to estimate the TDOA and FDOA, in which high sampling rates are needed to increase the positioning accuracy of existing CAF algorithms, which entail high calculation loads. To overcome this, an interpolation method is proposed for peaks of Fourier transform capable of maintaining high accuracy at low calculation loads after a well‐performed initial acquisition. The numerical simulation shows an improved estimation accuracy of the proposed algorithm compared with existing peak detection methods.
url https://doi.org/10.1049/rsn2.12112
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AT incheoljeong improvedpositionestimationmethodforlocatinganencryptedcospassarsatbeacon
AT jonghoonwon improvedpositionestimationmethodforlocatinganencryptedcospassarsatbeacon
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