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Many emerging applications driven the fast development of the device-free localization (DfL) technique, which does not require the target to carry any wireless devices. Most current DfL approaches have two main drawbacks in practical applications. First, as the pre-calibrated received signal strength (RSS) in each location (i.e., radio-map) of a specific area cannot be directly applied to the new...
While most existing indoor localization techniques are device-based, many emerging applications such as intruder detection and elderly monitoring drive the needs of device-free localization, in which the target can be localized without any device attached. Among the diverse techniques, received signal strength (RSS) fingerprint-based methods are popular because of the wide availability of RSS readings...
Device-free localization (DfL) techniques, which can localize targets without carrying any wireless devices, have attracting an increasing attentions. Most current DfL approaches, however, have two main drawbacks hindering their practical applications. First, one needs to collect large number of measurements to achieve a high localization accuracy, inevitably causing a high deployment cost, and the...
While device-free localization (DFL), i.e., target without carrying any devices, is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, we proposed the NDP method, which do not assume knowledge of the placement layout, including the parameters of the transceivers. The key intuition is that all of the distorted wireless signals caused by the target,...
Most previous Device-free Passive Localization (DFL) methods are learning based and they assume the distribution of Received Radio Signal (RSS) distorted by an object is fixed across time. However, the signals significantly vary over time and the pre-obtained radio map (or prior knowledge) outdated in the localization phase, thus causing the localization accuracy decrease. To cope with this problem,...
The passive target detection and localization in wireless sensor networks(WSNs) is a critical issue in many applications. However, the data type been used for detection and localization is limited, due to the target does not carry any devices connected to any transmit(or receive). Thus, the great challenge is that how to use the limited data type for DLF working. In this paper, we analyze the wireless...
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