Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology
碩士 === 大同大學 === 通訊工程研究所 === 102 === The application of Bluetooth technology has been extended to anti-lost and anti-theft areas. Products available on the market usually combine with a Bluetooth module, ring and the Android application. The proximity function works by detecting the strength of recei...
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ndltd-TW-102TTU056500292019-05-15T21:32:55Z http://ndltd.ncl.edu.tw/handle/r6r4d2 Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology 應用接收訊號強度加權法於藍芽測距技術之研究 Yu-ming Lin 林鈺閔 碩士 大同大學 通訊工程研究所 102 The application of Bluetooth technology has been extended to anti-lost and anti-theft areas. Products available on the market usually combine with a Bluetooth module, ring and the Android application. The proximity function works by detecting the strength of received signal. It is easy to find that relationship between distance and received signal strength is not linear at all. The variation of launching power of cell phone due to automatic gain control scheme make the decision of distance becomes worse. With real measurement of some blue-tooth based product, the relationship between distance and received signal strength is detailed analyzed. Finally, we propose the "RSSI weighted" algorithm to make the proximity function work well. Of course, we also discuss about strengths and weakness of our proposed algorithm. With the experiment result, the "RSSI weighted" algorithm is shown to be promising in the real application! Chau-yun Hsu 許超雲 2014 學位論文 ; thesis 73 zh-TW |
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碩士 === 大同大學 === 通訊工程研究所 === 102 === The application of Bluetooth technology has been extended to anti-lost and anti-theft areas. Products available on the market usually combine with a Bluetooth module, ring and the Android application. The proximity function works by detecting the strength of received signal. It is easy to find that relationship between distance and received signal strength is not linear at all. The variation of launching power of cell phone due to automatic gain control scheme make the decision of distance becomes worse.
With real measurement of some blue-tooth based product, the relationship between distance and received signal strength is detailed analyzed. Finally, we propose the "RSSI weighted" algorithm to make the proximity function work well. Of course, we also discuss about strengths and weakness of our proposed algorithm. With the experiment result, the "RSSI weighted" algorithm is shown to be promising in the real application!
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author2 |
Chau-yun Hsu |
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Chau-yun Hsu Yu-ming Lin 林鈺閔 |
author |
Yu-ming Lin 林鈺閔 |
spellingShingle |
Yu-ming Lin 林鈺閔 Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology |
author_sort |
Yu-ming Lin |
title |
Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology |
title_short |
Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology |
title_full |
Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology |
title_fullStr |
Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology |
title_full_unstemmed |
Study of Weighted Sum of RSSI in Proximity Function for Bluetooth Technology |
title_sort |
study of weighted sum of rssi in proximity function for bluetooth technology |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/r6r4d2 |
work_keys_str_mv |
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