T. K. Rana, Ankona Basu, B. Kumar, A. Basu, A. Biswas, Debashmita Basu
{"title":"大气污染引起的微波接收信号异常投影","authors":"T. K. Rana, Ankona Basu, B. Kumar, A. Basu, A. Biswas, Debashmita Basu","doi":"10.1109/IEMECON.2017.8079558","DOIUrl":null,"url":null,"abstract":"This paper presents the analysis of the effect of different environmental changes on micro-wave communication signals. The changes in signal levels with the changes of climatic parameters have been studied here. Out of many climatic parameters, black carbon, dust, carbon monoxide and rain have affected microwave communication the most. The study has been focused at Delhi in India where the pollution level is very high throughout the year. The troposphere region has been chosen where cellular communication is predominant.","PeriodicalId":231330,"journal":{"name":"2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A projection of microwave received signal anomaly due to air pollution\",\"authors\":\"T. K. Rana, Ankona Basu, B. Kumar, A. Basu, A. Biswas, Debashmita Basu\",\"doi\":\"10.1109/IEMECON.2017.8079558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the analysis of the effect of different environmental changes on micro-wave communication signals. The changes in signal levels with the changes of climatic parameters have been studied here. Out of many climatic parameters, black carbon, dust, carbon monoxide and rain have affected microwave communication the most. The study has been focused at Delhi in India where the pollution level is very high throughout the year. The troposphere region has been chosen where cellular communication is predominant.\",\"PeriodicalId\":231330,\"journal\":{\"name\":\"2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMECON.2017.8079558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMECON.2017.8079558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A projection of microwave received signal anomaly due to air pollution
This paper presents the analysis of the effect of different environmental changes on micro-wave communication signals. The changes in signal levels with the changes of climatic parameters have been studied here. Out of many climatic parameters, black carbon, dust, carbon monoxide and rain have affected microwave communication the most. The study has been focused at Delhi in India where the pollution level is very high throughout the year. The troposphere region has been chosen where cellular communication is predominant.