scholarly journals Indoor Location Sensing with Invariant Wi-Fi Received Signal Strength Fingerprinting

Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1898 ◽  
Author(s):  
Mohd Husen ◽  
Sukhan Lee
Keyword(s):  
Signal Strength ◽  
Received Signal Strength ◽  
Indoor Location ◽  
Location Sensing

scholarly journals Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Kai Dong ◽  
Zhen Ling ◽  
Xiangyu Xia ◽  
Haibo Ye ◽  
Wenjia Wu ◽  
...  
Keyword(s):  
Value Added ◽  
Likelihood Estimation ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Stochastic Gradient Descent ◽  
Indoor Environments ◽  
Localization Accuracy ◽  
Indoor Location ◽  
Location Fingerprinting ◽  
Gradient Descent Algorithm

The development of the Internet of Things has accelerated research in the indoor location fingerprinting technique, which provides value-added localization services for existing WLAN infrastructures without the need for any specialized hardware. The deployment of a fingerprinting based localization system requires an extremely large amount of measurements on received signal strength information to generate a location fingerprint database. Nonetheless, this requirement can rarely be satisfied in most indoor environments. In this paper, we target one but common situation when the collected measurements on received signal strength information are insufficient, and show limitations of existing location fingerprinting methods in dealing with inadequate location fingerprints. We also introduce a novel method to reduce noise in measuring the received signal strength based on the maximum likelihood estimation, and compute locations from inadequate location fingerprints by using the stochastic gradient descent algorithm. Our experiment results show that our proposed method can achieve better localization performance even when only a small quantity of RSS measurements is available. Especially when the number of observations at each location is small, our proposed method has evident superiority in localization accuracy.

scholarly journals Advanced Vehicle Security and Location Sensing System by using a Single Wireless Device RSSI

2020 ◽  
Vol 9 (1) ◽  
pp. 1554-1559
Keyword(s):  
Dynamic Change ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Position Estimation ◽  
Sensing System ◽  
Wireless Device ◽  
Vehicle Security ◽  
Received Signal Strength Indication ◽  
Location Sensing

Existing investigates on the spot pursue following spotlight either altogether on indoor or totally on outside by exploitation of various gadgets and strategies. This paper expects to follow a client position in each indoor and outside conditions by utilizing a solitary remote gadget with insignificant pursue blunder. RSSI (Received Signal Strength Indication) method alongside smoothing calculations is intended to cook this answer. The arranged RSSI-based pursue system is part into 2 principle stages, especially the normalization of RSSI coefficients and accordingly the separation together with position estimation of client area by reiterative trilateration. A low quality RSSI smoothing recipe is authorized to lessen the dynamic change of radio sign got from each reference hub once the objective hub is moving. Test estimations square measure distributed to examine the affectability of RSSI. The outcomes uncover the attainability of those calculations in concocting a great deal of right timeframe position watching framework.

A received signal strength RFID-based indoor location system

2017 ◽  
Vol 255 ◽  
pp. 118-133 ◽  
Author(s):  
Yuri Álvarez López ◽  
María Elena de Cos Gómez ◽  
Fernando Las-Heras Andrés
Keyword(s):  
Signal Strength ◽  
Received Signal Strength ◽  
Indoor Location ◽  
Location System

RADIO PROPAGATION CHARACTERISTICS OF INDOOR LOCATION SYSTEM BASED ON RSSI AT 490 MHz

2014 ◽  
Vol 23 (07) ◽  
pp. 1450094 ◽  
Author(s):  
WEIHONG FAN ◽  
MAJID AHMADI ◽  
FENG XUE
Keyword(s):  
Indoor Environment ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Propagation Characteristic ◽  
Radio Propagation ◽  
Test Results ◽  
Received Signal Strength Indicator ◽  
Indoor Location ◽  
Localization And Tracking

Localization and tracking technology based on received signal strength indicator (RSSI) is one of the most popular topics because of its low demand on hardware and cost. But the complexity of the indoor environment, leads to the uncertainty of the radio propagation which can seriously affect the positioning accuracy based on the received signal strength. Focused on the wall reflection in the indoor environment, the radio propagation characteristic based on ray-tracing model is analyzed and one strategy for the near wall localization is presented. The actual hardware platform and experimental test results show the applicability of the empirical logarithmic path loss model for localization and the effect of the wall reflection.

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