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New Methods for Improved Indoor Signal Strength Positioning
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Author(s): Ian Sharp (Independent Researcher, Australia)and Kegen Yu (Wuhan University, China)
Copyright: 2018
Pages: 49
Source title:
Positioning and Navigation in Complex Environments
Source Author(s)/Editor(s): Kegen Yu (Wuhan University, China)
DOI: 10.4018/978-1-5225-3528-7.ch001
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Abstract
This chapter focuses on positioning based on received signal strength measurements and radio path-loss modeling. Typically, receiver signal strength from a device such as a smart phone is used to calculate the path-loss and thus estimate distances using a loss model calibrated in an offline process. With known positions and ranges to WiFi access points or simple devices using Bluetooth or Zigbee for data communications, the mobile device position can be estimated. However, due to the complex multipath propagation indoor environment, distance estimation and position determination using current methods are not very accurate. Based on knowledge of the nature of indoor signal propagation and algorithms especially designed for mobile applications, new methods show that positional accuracy of a few meters is possible, even with non-line-of-sight propagation through many intervening walls. Given the current widespread deployment of WiFi indoors, simple software-only solutions are feasible for applications such as general personal navigation and tracking within buildings.
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