1 is a system implementing a statistical inversion process for device free localization in wireless networks, in accordance with one embodiment of the present invention.įIG. It is intended that the embodiments and figures disclosed herein are to be considered illustrative rather than limiting.įIG. An estimation module is configured for estimating a posterior distribution based on the signal strength of the at least one signal using said likelihood model for purposes of determining object information within the space.Įxemplary embodiments are illustrated in referenced figures of the drawings which illustrate what is regarded as the preferred embodiments presently contemplated. A likelihood selector is configured for determining a likelihood model based on said fading condition. A calibration module is configured for determining a fading condition associated with the first pair of radio frequency sensors. A signal strength collector is configured for collecting signal strength of at least one signal sent between the first pair of radio frequency sensors. The system includes a first pair of radio frequency sensors in a network of nodes arranged in a space. A first posterior distribution is estimated based on the signal strength of the at least one signal using the first likelihood model for purposes of determining object information within the space.Ī system for state/space estimation is also disclosed, in accordance with one embodiment of the present invention. A first likelihood model is determined based on the first fading condition. A signal strength of at least one signal sent between the first pair of nodes is measured. The first pair of radio frequency sensors is calibrated to determine a first fading condition associated with the first pair of radio frequency sensors. In accordance with one embodiment of the present invention, the method for state/space estimation includes arranging in a space a first pair of radio frequency sensors in a network of nodes. Specifically, systems and methods for state/space estimation are disclosed as embodiments of the present invention. What is described in the present invention is a new methodology for detecting, localizing, tracking, and counting objects.
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