{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T09:48:11Z","timestamp":1648633691217},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T00:00:00Z","timestamp":1606867200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,2]]},"abstract":"<jats:p>In this letter, we proposed a simple balanced-detection reception scheme for the half-cycled single-sideband direct-detected optical orthogonal frequency division multiplexing (HSSB DD-OFDM) signal with decreased guard band. By employing this scheme, each entire OFDM symbol can be recovered perfectly, while the signal-to-signal beat interference (SSBI) can be eliminated, the guard band can be reduced greatly and the tolerance to phase noise induced inter-channel interference (PN-ICI) and potential benefit of low peak to average power (PAPR) are retained. The simulation results demonstrate that a 40 Gbps 16-QAM HSSB DD-OFDM signal was achieved successfully.<\/jats:p>","DOI":"10.3233\/faia200797","type":"book-chapter","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T11:51:29Z","timestamp":1606996289000},"source":"Crossref","is-referenced-by-count":0,"title":["Simple Receiving Scheme Based on Balanced Detection for Half-Cycled SSB DD-OFDM Signal"],"prefix":"10.3233","author":[{"given":"Pengfei","family":"Yang","sequence":"first","affiliation":[{"name":"The 6th Research Institute of China Electronics Corporation, Beijing, 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xue","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Photonics & Optical Communications, Beijing University of Posts & Telecom, Beijing, 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Machine Learning and Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200797","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T11:51:30Z","timestamp":1606996290000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200797"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,2]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200797","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,2]]}}}