Indoor Tracking and Navigation Using Received Signal Strength and Compressive Sensing on a Mobile Device

2013 ◽  
Vol 12 (10) ◽  
pp. 2050-2062 ◽  
Author(s):  
Anthea Wain Sy Au ◽  
Chen Feng ◽  
Shahrokh Valaee ◽  
Sophia Reyes ◽  
Sameh Sorour ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Mobile Device ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Indoor Tracking

Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing

2012 ◽  
Vol 11 (12) ◽  
pp. 1983-1993 ◽  
Author(s):  
Chen Feng ◽  
Wain Sy Anthea Au ◽  
Shahrokh Valaee ◽  
Zhenhui Tan
Keyword(s):  
Compressive Sensing ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Received Signal Strength ◽  
Strength Based

scholarly journals Fingerprint Database Variations for WiFi Positioning

2013 ◽  
Vol 11 (10) ◽  
pp. 3101-3107
Author(s):  
Nelson Acosta ◽  
Juan Toloza ◽  
Carlos Kornuta
Keyword(s):  
Mobile Device ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Received Signal Strength ◽  
Relative Precision ◽  
Received Signal Strength Indicator ◽  
Positioning Systems ◽  
Fingerprinting Technique ◽  
Euclidian Distance ◽  
Fingerprint Database

Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.

KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Landslide Early Warning ◽  
Point To Point

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.

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