Yan Li, Lai Jiang, Yan Yin, Fangfang Liu, Hang Yu, Zhen Ji
{"title":"基于Memetic算法的5.8 GHz ETC接收机系统优化","authors":"Yan Li, Lai Jiang, Yan Yin, Fangfang Liu, Hang Yu, Zhen Ji","doi":"10.1109/MC.2011.5953636","DOIUrl":null,"url":null,"abstract":"ETC (Electronic Tolling Collection) systems develop rapidly in China in order to relieve the traffic congestion. As the key component of the ETC system, the design of the Radio Frequency (RF) transceiver is usually a tedious and experienced based work due to its high non-linearity. An automatic system level optimization method based on Memetic algorithm (MA) is proposed in this paper. A fitness function describing the relationship between receiver output signal-to-noise ratio (SNRout) and 9 system level parameters was derived and was optimized by the MA method. The correctness of the MA method was verified by the ADS simulation. A close result was obtained and the effects of the 9 parameters on the SNRout were discussed. The future design of the whole transceiver system can be based on this method.","PeriodicalId":441186,"journal":{"name":"2011 IEEE Workshop on Memetic Computing (MC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"System optimization of a 5.8 GHz ETC receiver using Memetic algorithm\",\"authors\":\"Yan Li, Lai Jiang, Yan Yin, Fangfang Liu, Hang Yu, Zhen Ji\",\"doi\":\"10.1109/MC.2011.5953636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ETC (Electronic Tolling Collection) systems develop rapidly in China in order to relieve the traffic congestion. As the key component of the ETC system, the design of the Radio Frequency (RF) transceiver is usually a tedious and experienced based work due to its high non-linearity. An automatic system level optimization method based on Memetic algorithm (MA) is proposed in this paper. A fitness function describing the relationship between receiver output signal-to-noise ratio (SNRout) and 9 system level parameters was derived and was optimized by the MA method. The correctness of the MA method was verified by the ADS simulation. A close result was obtained and the effects of the 9 parameters on the SNRout were discussed. The future design of the whole transceiver system can be based on this method.\",\"PeriodicalId\":441186,\"journal\":{\"name\":\"2011 IEEE Workshop on Memetic Computing (MC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Workshop on Memetic Computing (MC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MC.2011.5953636\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Workshop on Memetic Computing (MC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MC.2011.5953636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System optimization of a 5.8 GHz ETC receiver using Memetic algorithm
ETC (Electronic Tolling Collection) systems develop rapidly in China in order to relieve the traffic congestion. As the key component of the ETC system, the design of the Radio Frequency (RF) transceiver is usually a tedious and experienced based work due to its high non-linearity. An automatic system level optimization method based on Memetic algorithm (MA) is proposed in this paper. A fitness function describing the relationship between receiver output signal-to-noise ratio (SNRout) and 9 system level parameters was derived and was optimized by the MA method. The correctness of the MA method was verified by the ADS simulation. A close result was obtained and the effects of the 9 parameters on the SNRout were discussed. The future design of the whole transceiver system can be based on this method.