{"title":"The design of a rateless channel coding scheme for deep-space communication","authors":"Shaolei Chen, Chuangmu Yao, Rui Dai","doi":"10.1109/NTMS.2015.7266524","DOIUrl":null,"url":null,"abstract":"In this paper, a rateless channel coding scheme is proposed for deep-space communication. Unlike the traditional fixed-rate coding schemes, in our scheme the coding rate is not designed as a fixed value before transmission, but adaptive to the channel variations resulted from the dynamically varied transmission distance and complex atmospheric conditions. Specifically, a Raptor code which is provided by a cascade structure is adopted for the data transmission. The pre-code of Raptor code is encoded with a linear-time progressive edge-growth algorithm which avoids tedious calculations by matrix transformation. Moreover, based on a joint iterative decoding method, the output degree distribution of our Raptor code is optimized so as to obtain good decoding performances. Comparisons are provided with respect to the fixed-rate coding schemes by numerical simulation, which shows that our proposed rateless coding scheme has better performance and is adaptively capacity-approaching for the deep-space data transmission.","PeriodicalId":115020,"journal":{"name":"2015 7th International Conference on New Technologies, Mobility and Security (NTMS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on New Technologies, Mobility and Security (NTMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTMS.2015.7266524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a rateless channel coding scheme is proposed for deep-space communication. Unlike the traditional fixed-rate coding schemes, in our scheme the coding rate is not designed as a fixed value before transmission, but adaptive to the channel variations resulted from the dynamically varied transmission distance and complex atmospheric conditions. Specifically, a Raptor code which is provided by a cascade structure is adopted for the data transmission. The pre-code of Raptor code is encoded with a linear-time progressive edge-growth algorithm which avoids tedious calculations by matrix transformation. Moreover, based on a joint iterative decoding method, the output degree distribution of our Raptor code is optimized so as to obtain good decoding performances. Comparisons are provided with respect to the fixed-rate coding schemes by numerical simulation, which shows that our proposed rateless coding scheme has better performance and is adaptively capacity-approaching for the deep-space data transmission.