{"title":"基于Simulink的循环码错控制系统仿真设计","authors":"Ma Xiao-qing","doi":"10.1109/ICSGEA.2018.00086","DOIUrl":null,"url":null,"abstract":"This paper builds an error control system simulation model based on the Simulink development platform. The system uses a Bernoulli binary signal generator to generate random sequences, error control coding using cyclic code, binary balanced channel and additive Gauss white noise channel. Finally, the system is used to interact with the MATLAB program. The receiver's bit error rate is calculated, and the curves of BER and channel parameters are drawn. The results show that the greater the error probability of the binary equalization channel and the greater the bit error rate of the receiver, the signal to noise ratio of the channel is increased in the additive Gauss white noise channel and the bit error rate of the receiver is reduced.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"36 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation Design of Cyclic Code Error Control System Based on Simulink\",\"authors\":\"Ma Xiao-qing\",\"doi\":\"10.1109/ICSGEA.2018.00086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper builds an error control system simulation model based on the Simulink development platform. The system uses a Bernoulli binary signal generator to generate random sequences, error control coding using cyclic code, binary balanced channel and additive Gauss white noise channel. Finally, the system is used to interact with the MATLAB program. The receiver's bit error rate is calculated, and the curves of BER and channel parameters are drawn. The results show that the greater the error probability of the binary equalization channel and the greater the bit error rate of the receiver, the signal to noise ratio of the channel is increased in the additive Gauss white noise channel and the bit error rate of the receiver is reduced.\",\"PeriodicalId\":445324,\"journal\":{\"name\":\"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"36 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGEA.2018.00086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation Design of Cyclic Code Error Control System Based on Simulink
This paper builds an error control system simulation model based on the Simulink development platform. The system uses a Bernoulli binary signal generator to generate random sequences, error control coding using cyclic code, binary balanced channel and additive Gauss white noise channel. Finally, the system is used to interact with the MATLAB program. The receiver's bit error rate is calculated, and the curves of BER and channel parameters are drawn. The results show that the greater the error probability of the binary equalization channel and the greater the bit error rate of the receiver, the signal to noise ratio of the channel is increased in the additive Gauss white noise channel and the bit error rate of the receiver is reduced.