{"title":"基于MEMS传感器的低成本无线IMU行人导航系统的开发","authors":"Naeem Mumtaz, Sana Arif, Nimra Qadeer, Z. Khan","doi":"10.1109/C-CODE.2017.7918948","DOIUrl":null,"url":null,"abstract":"This paper describes the design and development of a low cost Bluetooth based wireless inertial measurement unit (WIMU) for pedestrian navigation applications (PNS). Our aim is to use commercially available micro electromechanical system (MEMS) based inertial sensors to develop a miniature WIMU for GPS denied navigation applications including PNS. The challenging issues with noisy MEMS sensors and their integration to obtain attitude information is handled carefully by using sensor fusion algorithm while ensuring as minimum delay as possible for real time decision. The results have been compared with the sensor suite available in the Samsung Galaxy s5 smart phone and found to accurately following the trends in roll, pitch, yaw angles as well as x-y-z accelerations.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"566 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Development of a low cost wireless IMU using MEMS sensors for pedestrian navigation\",\"authors\":\"Naeem Mumtaz, Sana Arif, Nimra Qadeer, Z. Khan\",\"doi\":\"10.1109/C-CODE.2017.7918948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the design and development of a low cost Bluetooth based wireless inertial measurement unit (WIMU) for pedestrian navigation applications (PNS). Our aim is to use commercially available micro electromechanical system (MEMS) based inertial sensors to develop a miniature WIMU for GPS denied navigation applications including PNS. The challenging issues with noisy MEMS sensors and their integration to obtain attitude information is handled carefully by using sensor fusion algorithm while ensuring as minimum delay as possible for real time decision. The results have been compared with the sensor suite available in the Samsung Galaxy s5 smart phone and found to accurately following the trends in roll, pitch, yaw angles as well as x-y-z accelerations.\",\"PeriodicalId\":344222,\"journal\":{\"name\":\"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)\",\"volume\":\"566 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C-CODE.2017.7918948\",\"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 International Conference on Communication, Computing and Digital Systems (C-CODE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C-CODE.2017.7918948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a low cost wireless IMU using MEMS sensors for pedestrian navigation
This paper describes the design and development of a low cost Bluetooth based wireless inertial measurement unit (WIMU) for pedestrian navigation applications (PNS). Our aim is to use commercially available micro electromechanical system (MEMS) based inertial sensors to develop a miniature WIMU for GPS denied navigation applications including PNS. The challenging issues with noisy MEMS sensors and their integration to obtain attitude information is handled carefully by using sensor fusion algorithm while ensuring as minimum delay as possible for real time decision. The results have been compared with the sensor suite available in the Samsung Galaxy s5 smart phone and found to accurately following the trends in roll, pitch, yaw angles as well as x-y-z accelerations.
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