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pro vyhledávání: '"Lang-Long Wu"'
Autor:
Lang-Long Wu, 吳連榮
102
This paper proposes Kalman-filter drift removal and Heron-bilateration location estimation to significantly reduce the RSSI drift, localization error, computational complexity, and deployment cost of conventional Radio Frequency IDentificati
This paper proposes Kalman-filter drift removal and Heron-bilateration location estimation to significantly reduce the RSSI drift, localization error, computational complexity, and deployment cost of conventional Radio Frequency IDentificati
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/e7z85c
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 64:728-739
This paper proposes Kalman-filter drift removal (DR) and Heron-bilateration location estimation (LE) to significantly reduce the received signal strength index (RSSI) drift, localization error, computational complexity, and deployment cost of convent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a2d248dc74edf0a8c1b2e42d7029db3
https://doi.org/10.1109/tim.2014.2347691
https://doi.org/10.1109/tim.2014.2347691
