Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks

Unmanned aerial vehicle (UAV) is regarded as a powerful tool to expand the existing ground wireless network into aerial space. Since high mobility is an essential characteristic for UAV, it is important to carry out an accurate, real-time, and high-precision localization in terms of safe operation a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chenxi Zeng, Zhongliang Deng, Jiyang Ma, Shengsong Yang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/6976cf3b4bad42d494ad5c5a796ecdda
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6976cf3b4bad42d494ad5c5a796ecdda
record_format	dspace
spelling	oai:doaj.org-article:6976cf3b4bad42d494ad5c5a796ecdda2021-11-22T01:10:01ZTwo-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks1875-919X10.1155/2021/8946885https://doaj.org/article/6976cf3b4bad42d494ad5c5a796ecdda2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8946885https://doaj.org/toc/1875-919XUnmanned aerial vehicle (UAV) is regarded as a powerful tool to expand the existing ground wireless network into aerial space. Since high mobility is an essential characteristic for UAV, it is important to carry out an accurate, real-time, and high-precision localization in terms of safe operation and communication link maintenance. The cellular network-based localization technology has provided UAV a solution with both high coverage and seamless connection. However, the complex channel environment between the UAV and terrestrial base station (BS) would have weakened the localization performance. To solve this problem, a two-stage channel adaptive algorithm for cellular-connected UAV has been proposed. The first stage of the algorithm is to revise the observation error introduced by the complex channel environment using the model of DDPG. The second stage is to locate the UAV position with TDOA algorithm using the revised observation values. Simulation results have demonstrated that the proposed algorithm can achieve the channel adaptive effect by revising the observation errors and improve location performance greatly, especially for UAVs at a relative lower altitude.Chenxi ZengZhongliang DengJiyang MaShengsong YangHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Chenxi Zeng Zhongliang Deng Jiyang Ma Shengsong Yang Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks
description	Unmanned aerial vehicle (UAV) is regarded as a powerful tool to expand the existing ground wireless network into aerial space. Since high mobility is an essential characteristic for UAV, it is important to carry out an accurate, real-time, and high-precision localization in terms of safe operation and communication link maintenance. The cellular network-based localization technology has provided UAV a solution with both high coverage and seamless connection. However, the complex channel environment between the UAV and terrestrial base station (BS) would have weakened the localization performance. To solve this problem, a two-stage channel adaptive algorithm for cellular-connected UAV has been proposed. The first stage of the algorithm is to revise the observation error introduced by the complex channel environment using the model of DDPG. The second stage is to locate the UAV position with TDOA algorithm using the revised observation values. Simulation results have demonstrated that the proposed algorithm can achieve the channel adaptive effect by revising the observation errors and improve location performance greatly, especially for UAVs at a relative lower altitude.
format	article
author	Chenxi Zeng Zhongliang Deng Jiyang Ma Shengsong Yang
author_facet	Chenxi Zeng Zhongliang Deng Jiyang Ma Shengsong Yang
author_sort	Chenxi Zeng
title	Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks
title_short	Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks
title_full	Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks
title_fullStr	Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks
title_full_unstemmed	Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks
title_sort	two-stage channel adaptive algorithm for unmanned aerial vehicles localization with cellular networks
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/6976cf3b4bad42d494ad5c5a796ecdda
work_keys_str_mv	AT chenxizeng twostagechanneladaptivealgorithmforunmannedaerialvehicleslocalizationwithcellularnetworks AT zhongliangdeng twostagechanneladaptivealgorithmforunmannedaerialvehicleslocalizationwithcellularnetworks AT jiyangma twostagechanneladaptivealgorithmforunmannedaerialvehicleslocalizationwithcellularnetworks AT shengsongyang twostagechanneladaptivealgorithmforunmannedaerialvehicleslocalizationwithcellularnetworks
_version_	1718418405578506240

Two-Stage Channel Adaptive Algorithm for Unmanned Aerial Vehicles Localization with Cellular Networks

Ejemplares similares