{"title":"基于RSSI的移动平均无线胶囊定位距离估计方法","authors":"Umma Hany, L. Akter, Md. Farhad Hossain","doi":"10.1109/MEDITEC.2016.7835359","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an efficient method of distance estimation for the localization of wireless capsule endoscope (WCE) using received signal strength indicator (RSSI). As RSSI is attenuated with change of distance, we can use RSSI measurements to estimate the distance. The main challenge in wireless capsule localization in the gastrointestinal (GI) tract is the random deviation in RSSI measurements due to the shadowing and multi-path propagation effects of non-homogeneous medium. In this paper, we propose a method of distance estimation which can improve the accuracy of wireless capsule localization. To address the randomness issue of RSSI measurements, we propose moving averaging method of path loss to estimate the distance of the swallowed capsule. We simulate our proposed method using MATLAB and observe significant improvement in distance estimation of the capsule considering non-homogeneous environment of human body.","PeriodicalId":325916,"journal":{"name":"2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Moving averaging method of RSSI based distance estimation for wireless capsule localization\",\"authors\":\"Umma Hany, L. Akter, Md. Farhad Hossain\",\"doi\":\"10.1109/MEDITEC.2016.7835359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an efficient method of distance estimation for the localization of wireless capsule endoscope (WCE) using received signal strength indicator (RSSI). As RSSI is attenuated with change of distance, we can use RSSI measurements to estimate the distance. The main challenge in wireless capsule localization in the gastrointestinal (GI) tract is the random deviation in RSSI measurements due to the shadowing and multi-path propagation effects of non-homogeneous medium. In this paper, we propose a method of distance estimation which can improve the accuracy of wireless capsule localization. To address the randomness issue of RSSI measurements, we propose moving averaging method of path loss to estimate the distance of the swallowed capsule. We simulate our proposed method using MATLAB and observe significant improvement in distance estimation of the capsule considering non-homogeneous environment of human body.\",\"PeriodicalId\":325916,\"journal\":{\"name\":\"2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEDITEC.2016.7835359\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEDITEC.2016.7835359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moving averaging method of RSSI based distance estimation for wireless capsule localization
In this paper, we propose an efficient method of distance estimation for the localization of wireless capsule endoscope (WCE) using received signal strength indicator (RSSI). As RSSI is attenuated with change of distance, we can use RSSI measurements to estimate the distance. The main challenge in wireless capsule localization in the gastrointestinal (GI) tract is the random deviation in RSSI measurements due to the shadowing and multi-path propagation effects of non-homogeneous medium. In this paper, we propose a method of distance estimation which can improve the accuracy of wireless capsule localization. To address the randomness issue of RSSI measurements, we propose moving averaging method of path loss to estimate the distance of the swallowed capsule. We simulate our proposed method using MATLAB and observe significant improvement in distance estimation of the capsule considering non-homogeneous environment of human body.