The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/26113 |
Resumo: | The demand for radio-frequency bandwidth is rising, with the growing number of users and applications. The radar and communication systems are two of main players in this regard and are central to make the IoT paradigm a reality. The separation of the radar and communication system is a waste of resources and the interference between the two systems is inevitable. On the other hand, their integration on a single hardware, enables the paradigm of dual functionality devices with communication and radar sensing capabilities fundamental to cope with the challenges of future IoT. In this dissertation, the integration of radar and communication systems is accomplished by using OFDM as a common waveform and the use of Alamouti coding enables both the achievement of spatial diversity, for the communication functionality, and of transmit signal orthogonality required to improve resolution, for the radar functionality. The evaluation of such methods as a way to achieve radar and communication integration was accomplished by developing a simulation platform, first only with the radar functionality, for SISO and MIMO configurations, and then with both radar and communication functionalities. The RadCom system developed present good performance, low complexity and so it is interesting for practical applications |
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The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systemsIoTOFDMMIMORadarRadComThe demand for radio-frequency bandwidth is rising, with the growing number of users and applications. The radar and communication systems are two of main players in this regard and are central to make the IoT paradigm a reality. The separation of the radar and communication system is a waste of resources and the interference between the two systems is inevitable. On the other hand, their integration on a single hardware, enables the paradigm of dual functionality devices with communication and radar sensing capabilities fundamental to cope with the challenges of future IoT. In this dissertation, the integration of radar and communication systems is accomplished by using OFDM as a common waveform and the use of Alamouti coding enables both the achievement of spatial diversity, for the communication functionality, and of transmit signal orthogonality required to improve resolution, for the radar functionality. The evaluation of such methods as a way to achieve radar and communication integration was accomplished by developing a simulation platform, first only with the radar functionality, for SISO and MIMO configurations, and then with both radar and communication functionalities. The RadCom system developed present good performance, low complexity and so it is interesting for practical applicationsA necessidade por largura de banda de radiofrequência, está a aumentar com o crescente número de utilizadores e aplicações. Os sistemas de radar e comunicações, são dois dos principais intervenientes nesta matéria e fundamentais para fazer do paradigma da IoT uma realidade. A separação dos sistemas de radar e comunicação, é um desperdício de recurso sendo a interferência entre os dois sistemas inevitável. Por outro lado, a integração em um único hardware, permite o paradigma de dispositivos de funcionalidade dupla com capacidades de comunicação e radar, fundamentais para lidar com os desafios da futura IoT. Nesta dissertação, a integração de sistemas de radar e comunicação é realizada usando OFDM, como forma de onda comum. O uso da codificação de Alamouti permite tanto a obtenção de diversidade espacial, para a funcionalidade de comunicação, como a como a ortogonalidade do sinal de transmissão necessária para melhorar a resolução da funcionalidade do radar. A avaliação de tais métodos como uma maneira de alcançar a integração de radar e comunicação foi alcançada através do desenvolvimento de uma plataforma de simulação. Primeiro, apenas com a funcionalidade radar, para configurações SISO e MIMO. Por fim, com as funcionalidades de radar e comunicação. O sistema proposto apresenta bom desempenho, baixa complexidade e por isso interessante para aplicações práticas2019-05-27T09:46:15Z2018-12-20T00:00:00Z2018-12-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/26113TID:202241750engMaciel, João Nuno Pinheiroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:50:34Zoai:ria.ua.pt:10773/26113Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:59:11.507268Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
title |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
spellingShingle |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems Maciel, João Nuno Pinheiro IoT OFDM MIMO Radar RadCom |
title_short |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
title_full |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
title_fullStr |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
title_full_unstemmed |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
title_sort |
The combination of Alamouti coding with OFDM for the integration of the future MIMO radar and communication systems |
author |
Maciel, João Nuno Pinheiro |
author_facet |
Maciel, João Nuno Pinheiro |
author_role |
author |
dc.contributor.author.fl_str_mv |
Maciel, João Nuno Pinheiro |
dc.subject.por.fl_str_mv |
IoT OFDM MIMO Radar RadCom |
topic |
IoT OFDM MIMO Radar RadCom |
description |
The demand for radio-frequency bandwidth is rising, with the growing number of users and applications. The radar and communication systems are two of main players in this regard and are central to make the IoT paradigm a reality. The separation of the radar and communication system is a waste of resources and the interference between the two systems is inevitable. On the other hand, their integration on a single hardware, enables the paradigm of dual functionality devices with communication and radar sensing capabilities fundamental to cope with the challenges of future IoT. In this dissertation, the integration of radar and communication systems is accomplished by using OFDM as a common waveform and the use of Alamouti coding enables both the achievement of spatial diversity, for the communication functionality, and of transmit signal orthogonality required to improve resolution, for the radar functionality. The evaluation of such methods as a way to achieve radar and communication integration was accomplished by developing a simulation platform, first only with the radar functionality, for SISO and MIMO configurations, and then with both radar and communication functionalities. The RadCom system developed present good performance, low complexity and so it is interesting for practical applications |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-20T00:00:00Z 2018-12-20 2019-05-27T09:46:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/26113 TID:202241750 |
url |
http://hdl.handle.net/10773/26113 |
identifier_str_mv |
TID:202241750 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799137646496186368 |