{"title":"流星暴的探测及其信道建模仿真","authors":"Lei Zhang, Lidong Zhu","doi":"10.1109/ICSPS.2010.5555795","DOIUrl":null,"url":null,"abstract":"Combining the existing theories with the limited measurement data, we propose a method of determining whether a meteor burst exists or not and getting the corresponding distribution rule of meteor burst arriving interval, and simulate the whole process with C++. We judge the type of the meteor and give statistic results of the times of meteor, and get the curve of the received signal power. Based on the above work, we set up a channel model using the measurement data. The probability density function of the received signal power generated by our model is similar to that of the actual measurement data.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Detection of meteor burst and its channel modeling simulation\",\"authors\":\"Lei Zhang, Lidong Zhu\",\"doi\":\"10.1109/ICSPS.2010.5555795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Combining the existing theories with the limited measurement data, we propose a method of determining whether a meteor burst exists or not and getting the corresponding distribution rule of meteor burst arriving interval, and simulate the whole process with C++. We judge the type of the meteor and give statistic results of the times of meteor, and get the curve of the received signal power. Based on the above work, we set up a channel model using the measurement data. The probability density function of the received signal power generated by our model is similar to that of the actual measurement data.\",\"PeriodicalId\":234084,\"journal\":{\"name\":\"2010 2nd International Conference on Signal Processing Systems\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPS.2010.5555795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of meteor burst and its channel modeling simulation
Combining the existing theories with the limited measurement data, we propose a method of determining whether a meteor burst exists or not and getting the corresponding distribution rule of meteor burst arriving interval, and simulate the whole process with C++. We judge the type of the meteor and give statistic results of the times of meteor, and get the curve of the received signal power. Based on the above work, we set up a channel model using the measurement data. The probability density function of the received signal power generated by our model is similar to that of the actual measurement data.