Indoor positioning system based on INS/WiFi propagation model

Yang, Xianfeng; Deng, Menglu; Jiang, Tao

doi:10.1109/piers.2017.8262362

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Most of indoor object position tracking use the fingerprint and propagation method. Say, the propagation method proposed by [13] used the strength of the detected Wi-Fi signals more rather than the threshold signals. When the signal detected by Wi-Fi exceeds the threshold signal during the zero update (ZUPT), it will obtain the information of the indoor object position.…”

Section: Related Workmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Damayanti,

Ramadan,

Utami

2021

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this paper proposes an android-based application to help the users to navigate in finding books in the library easily and interactively. This navigation application is connected to a Bluetooth Low Energy (BLE) device that will emit an RSSI signal received by the Smartphone user and show the desired distance to the bookshelf position. The method of triangulation and mean filter were used to eliminate noise in the test environment to make the position of the bookshelf can be found precisely based on the RSSI BLE Beacon value. The test results showed the largest RSSI value for LOS conditions at -48dBm and NLOS at -63 dBm; while the lowest RRSI values for LOS conditions was at -84dBm and NLOS was at -96dBm.

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Section: Related Workmentioning

confidence: 99%