Abstract: A method for determining location of a target within an indoor environment, including the steps of: classifying a set of anchors having known locations within the indoor environment and a set of targets having unknown locations within the indoor environment, wherein each of the anchors and targets comprise hardware having sensors and wireless communication capabilities; creating a set of ordinal pair data sets comprising relative distances between each target and all anchors; ranking and aggregating the ordinal pair data sets to produce a set of dissimilarities that approximate distances; transforming the dissimilarities into estimated distances between each anchor and target using the known distances between the anchors as calibration; and inferring location of targets by formulating and solving a multidimensional unfolding optimization.

Abstract: A method for determining location of a target within an indoor environment, including the steps of: classifying a set of anchors having known locations within the indoor environment and a set of targets having unknown locations within the indoor environment, wherein each of the anchors and targets comprise hardware having sensors and wireless communication capabilities; creating a set of ordinal pair data sets comprising relative distances between each target and all anchors; ranking and aggregating the ordinal pair data sets to produce a set of dissimilarities that approximate distances; transforming the dissimilarities into estimated distances between each anchor and target using the known distances between the anchors as calibration; and inferring location of targets by formulating and solving a multidimensional unfolding optimization.

Abstract: The wireless sensor network can including a plurality of anchor sensors each including a signal receiver, a processing module, and a transmitter. The signal receiver can be configured to detect a received signal. The received signal can include noise and further can include a transmitted signal from the node when the node is transmitting the transmitted signal. The node can be located at an exact location that is unknown to each of the plurality of anchor sensors. The exact location can be in a region that is known to each of the plurality of anchor sensors. The transmitted signal can be wirelessly transmitted from the node when the node is transmitting the transmitted signal. The wireless sensor network also can include a fusion center. The processing module of each anchor sensor of the plurality of anchor sensors can performs acts. The acts can include determining a probability of whether the node is present at each of a plurality of grid points of the region.

Abstract: Some embodiments include a wireless sensor network system. Other embodiments of related systems and methods are also disclosed.

Abstract: Some embodiments include a distributed estimation system. Other embodiments of related systems and methods are also disclosed.

Abstract: The wireless sensor network can including a plurality of anchor sensors each including a signal receiver, a processing module, and a transmitter. The signal receiver can be configured to detect a received signal. The received signal can include noise and further can include a transmitted signal from the node when the node is transmitting the transmitted signal. The node can be located at an exact location that is unknown to each of the plurality of anchor sensors. The exact location can be in a region that is known to each of the plurality of anchor sensors. The transmitted signal can be wirelessly transmitted from the node when the node is transmitting the transmitted signal. The wireless sensor network also can include a fusion center. The processing module of each anchor sensor of the plurality of anchor sensors can performs acts. The acts can include determining a probability of whether the node is present at each of a plurality of grid points of the region.

Abstract: Some embodiments include a wireless sensor network system. Other embodiments of related systems and methods are also disclosed.

Abstract: Some embodiments include a distributed estimation system. Other embodiments of related systems and methods are also disclosed.