Publicação
Data rate enhancement in optical camera communications using an artificial neural network equaliser
| Resumo: | In optical camera communication (OCC) systems leverage on the use of commercial off-the-shelf image sensors to perceive the spatial and temporal variation of light intensity to enable data transmission. However, the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera’s sampling will introduce intersymbol interference (ISI), which will degrade the system performance. In this paper, an artificial neural network (ANN)-based equaliser with the adaptive algorithm is employed for the first time in the field of OCC to mitigate ISI and therefore increase the data rate. Unlike other communication systems, training of the ANN network in OCC is done only once in a lifetime for a range of different exposure time and the network can be stored with a look-up table. The proposed system is theoretically investigated and experimentally evaluated. The results record the highest bit rate for OCC using a single LED source and the Manchester line code (MLC) non-return to zero (NRZ) encoded signal. It also demonstrates 2 to 9 times improved bandwidth depending on the exposure times where the system’s bit error rate is below the forward error correction limit. |
|---|---|
| Autores principais: | Younus, Othman Isam |
| Outros Autores: | Hassan, Navid Bani; Ghassemlooy, Zabih; Haigh, Paul Anthony; Zvanovec, Stanislav; Alves, Luis Nero; Le Minh, Hoa |
| Assunto: | Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| Ano: | 2020 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Aveiro |
| Idioma: | inglês |
| Origem: | RIA - Repositório Institucional da Universidade de Aveiro |
| _version_ | 1866172986693779456 |
|---|---|
| author | Younus, Othman Isam |
| author2 | Hassan, Navid Bani Ghassemlooy, Zabih Haigh, Paul Anthony Zvanovec, Stanislav Alves, Luis Nero Le Minh, Hoa |
| author2_role | author author author author author author |
| author_facet | Younus, Othman Isam Hassan, Navid Bani Ghassemlooy, Zabih Haigh, Paul Anthony Zvanovec, Stanislav Alves, Luis Nero Le Minh, Hoa |
| author_role | author |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Younus, Othman Isam\"},{\"Person.name\":\"Hassan, Navid Bani\"},{\"Person.name\":\"Ghassemlooy, Zabih\"},{\"Person.name\":\"Haigh, Paul Anthony\"},{\"Person.name\":\"Zvanovec, Stanislav\"},{\"Person.name\":\"Alves, Luis Nero\"},{\"Person.name\":\"Le Minh, Hoa\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Younus, Othman Isam Hassan, Navid Bani Ghassemlooy, Zabih Haigh, Paul Anthony Zvanovec, Stanislav Alves, Luis Nero Le Minh, Hoa |
| datacite.date.Accepted.fl_str_mv | 2020-02-28T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-03-24T13:25:50Z |
| datacite.date.embargoed.fl_str_mv | 2021-03-24T13:25:50Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| datacite.titles.title.fl_str_mv | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| dc.creator.none.fl_str_mv | Younus, Othman Isam Hassan, Navid Bani Ghassemlooy, Zabih Haigh, Paul Anthony Zvanovec, Stanislav Alves, Luis Nero Le Minh, Hoa |
| dc.date.Accepted.fl_str_mv | 2020-02-28T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-03-24T13:25:50Z |
| dc.date.embargoed.fl_str_mv | 2021-03-24T13:25:50Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10773/31007 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| dc.title.fl_str_mv | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | In optical camera communication (OCC) systems leverage on the use of commercial off-the-shelf image sensors to perceive the spatial and temporal variation of light intensity to enable data transmission. However, the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera’s sampling will introduce intersymbol interference (ISI), which will degrade the system performance. In this paper, an artificial neural network (ANN)-based equaliser with the adaptive algorithm is employed for the first time in the field of OCC to mitigate ISI and therefore increase the data rate. Unlike other communication systems, training of the ANN network in OCC is done only once in a lifetime for a range of different exposure time and the network can be stored with a look-up table. The proposed system is theoretically investigated and experimentally evaluated. The results record the highest bit rate for OCC using a single LED source and the Manchester line code (MLC) non-return to zero (NRZ) encoded signal. It also demonstrates 2 to 9 times improved bandwidth depending on the exposure times where the system’s bit error rate is below the forward error correction limit. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ria_8010162f82d5f7cd052d03be85a16739 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10773/31007 |
| instacron_str | ua |
| institution | Universidade de Aveiro |
| instname_str | Universidade de Aveiro |
| language | eng |
| network_acronym_str | ria |
| network_name_str | RIA - Repositório Institucional da Universidade de Aveiro |
| oai_identifier_str | oai:ria.ua.pt:10773/31007 |
| organization_str_mv | urn:organizationAcronym:ua |
| person_str_mv | Younus, Othman Isam Hassan, Navid Bani Ghassemlooy, Zabih Haigh, Paul Anthony Zvanovec, Stanislav Alves, Luis Nero Le Minh, Hoa |
| publishDate | 2020 |
| publisher.none.fl_str_mv | IEEE |
| reponame_str | RIA - Repositório Institucional da Universidade de Aveiro |
| repository_id_str | urn:repositoryAcronym:ria |
| service_str_mv | urn:repositoryAcronym:ria |
| spelling | pt_PTIn optical camera communication (OCC) systems leverage on the use of commercial off-the-shelf image sensors to perceive the spatial and temporal variation of light intensity to enable data transmission. However, the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera’s sampling will introduce intersymbol interference (ISI), which will degrade the system performance. In this paper, an artificial neural network (ANN)-based equaliser with the adaptive algorithm is employed for the first time in the field of OCC to mitigate ISI and therefore increase the data rate. Unlike other communication systems, training of the ANN network in OCC is done only once in a lifetime for a range of different exposure time and the network can be stored with a look-up table. The proposed system is theoretically investigated and experimentally evaluated. The results record the highest bit rate for OCC using a single LED source and the Manchester line code (MLC) non-return to zero (NRZ) encoded signal. It also demonstrates 2 to 9 times improved bandwidth depending on the exposure times where the system’s bit error rate is below the forward error correction limit.application/pdfengIEEEpt_PTData rate enhancement in optical camera communications using an artificial neural network equaliserYounus, Othman IsamHassan, Navid BaniGhassemlooy, ZabihHaigh, Paul AnthonyZvanovec, StanislavAlves, Luis NeroLe Minh, HoaHandlehttp://hdl.handle.net/10773/31007ISSNIsPartOf2169-3536DOIIsPartOf10.1109/ACCESS.2020.29765372021-03-24T13:25:50Z2020-02-28T00:00:00Z2020-02-28http://purl.org/coar/access_right/c_abf2open accesspt_PTOptical camera communicationpt_PTANN equaliserpt_PTVisible light communicationspt_PTRolling shutter3067510 byteshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://ria.ua.pt/bitstream/10773/31007/1/09017989.pdfliteraturehttp://purl.org/coar/resource_type/c_6501journal article |
| spellingShingle | Data rate enhancement in optical camera communications using an artificial neural network equaliser Younus, Othman Isam Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| status | SINGLETON |
| subject.fl_str_mv | Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| title | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| title_full | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| title_fullStr | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| title_full_unstemmed | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| title_short | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| title_sort | Data rate enhancement in optical camera communications using an artificial neural network equaliser |
| topic | Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| topic_facet | Optical camera communication ANN equaliser Visible light communications Rolling shutter |
| url | http://hdl.handle.net/10773/31007 |
| visible | 1 |