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A novel indoor localization method for Wi-Fi devices such as smart phones is presented. With an indoor path loss model, the distance between a mobile device (MD) and an access point (AP) can be estimated form the received signal strength (RSS). Then, least-squared-error (LSE) triangulation yields the position of the MD. Though indoor channel characteristics are highly fluctuating with perturbations,...
The popularity of WLAN and mobile devices makes the development and widely use of location-aware systems and services possible. Since the Received Signal Strength Indication (RSSI) can be obtained by most mobile devices, the fingerprinting method based on RSSI becomes a simple and efficient method of Indoor Location (IL). This method needs to use the empirical measurements, propagation modeling or...
Received signal strength (RSS) based indoor localization methods have drawn great attention due to its low cost and ease of deployment in recent years. How to predict indoor received signal strength in a certain position is the chief difficulty. Existing two categories of location estimation techniques have respective disadvantages. This paper analyzes the properties of RSS data in the frequency domain...
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