{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/121598"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/121598","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"A software-defined receiver for laser communications using a GPU","abstract":"Laser commiunication systems provide a high data rate, power efficient communication solution for small satellites and deep space missions. One challenge that limits the widespread use of laser communication systems is the lack of accessible, low-complexity receiver electronics and software implementations. Graphics Processing Units (GPUs) can reduce the complexity in receiver design since GPUs require less specialized knowledge and can enable faster development times than Field Programmnable Cate Array (FPGA) implementations, while still retaining comparable data throughputs via parallelization. This thesis explores the use of a Graphics Processing Unit (GPU) as the sole computational unit for the signal processing algorithms involved in laser conmnunications.","abstract_html":"Laser commiunication systems provide a high data rate, power efficient communication solution for small satellites and deep space missions. One challenge that limits the widespread use of laser communication systems is the lack of accessible, low-complexity receiver electronics and software implementations. Graphics Processing Units (GPUs) can reduce the complexity in receiver design since GPUs require less specialized knowledge and can enable faster development times than Field Programmnable Cate Array (FPGA) implementations, while still retaining comparable data throughputs via parallelization. This thesis explores the use of a Graphics Processing Unit (GPU) as the sole computational unit for the signal processing algorithms involved in laser conmnunications.","abstract_has_math":false,"creators":["Kusters, Joseph Matthew."],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Kerri L. Cahoy."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-22T22:21:26Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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