A Device-free Location Detection Scheme for Indoor Environment
Among all the wireless localization techniques, most works require users to carry a device, such as a transmitter or a receiver, on the target object to be localized. The need is to develop a device-free localization system, This paper proposes a statistics-based scheme to locate people, where we monitor the received signal strength (RSS) of the Radio Frequency (RF) system in the background environment to recognize that a person may be located in a certain room. This scheme consists of two phases: training phase and online phase. In the training phase, we assume that the building has been deployed with some Wi-Fi APs and a fix receiver; our scheme will measure the RSS distribution while a person is in a room, or not in a room, as the training patterns. In the online phase, we compare the current RSS distribution against the training patterns to detect which room a person is now in. We believe that our framework can provide a valuable solution for device-free localization. A prototype system is developed to verify the practicability of our framework with real data.
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