Embodiments of the present invention include the different methods for data fusion from multi dissimilar sensors to reduce the noise of the tracking the 3D target in Cartesian coordinates. Accuracy of this invention is precise and more stable than the conventional methods that use geometric calculations of 2D radars to track 3D targets. The results of this invention are using the same 3D radars in the tracking system. These methods are not only implemented in existing tracking centers, but also handle the tradeoff between the data transmission capacity at the command center and the computational speed of system. This invention performs the sequential steps: determining the dynamical motion model of target, state prediction and measurement update. Wherein, the variation of steps is shown in the embodiment of this invention by the following different approaches: selective measurement; parallel filtering; state vector fusion; feedback state vector fusion; measurement fusion state vector fusion.

Systems, methods, and apparatus for detecting UAVs in an RF environment are disclosed. An apparatus is constructed and configured for network communication with at least one camera. The at least one camera captures images of the RF environment and transmits video data to the apparatus. The apparatus receives RF data and generates FFT data based on the RF data, identifies at least one signal based on a first derivative and a second derivative of the FFT data, measures a direction from which the at least one signal is transmitted, analyzes the video data. The apparatus then identifies at least one UAV to which the at least one signal is related based on the analyzed video data, the RF data, and the direction from which the at least one signal is transmitted, and controls the at least one camera based on the analyzed video data.

An apparatus and a method for RSS/AoA target 3-D localization in wireless networks and wireless sensor networks (WSNs), utilizing combined measurements of received signal strength (RSS) and angle of arrival (AoA) are disclosed herein. By using the spherical coordinate conversion and available AoA observations to establish new relationships between the measurements and the unknown target location, a simple closed-form solution is developed. The method disclosed herein has a straightforward adaptation to the case where the target's transmit power is also not known. A representative set of simulations and experiments verify the potential performance improvement realized with embodiments of the method for RSS/AoA target 3-D localization in wireless networks.

An apparatus and a method for RSS/AoA target 3-D localization in wireless networks and wireless sensor networks (WSNs), utilizing combined measurements of received signal strength (RSS) and angle of arrival (AoA) are disclosed herein. By using the spherical coordinate conversion and available AoA observations to establish new relationships between the measurements and the unknown target location, a simple closed-form solution is developed. The method disclosed herein has a straightforward adaptation to the case where the target's transmit power is also not known. A representative set of simulations and experiments verify the potential performance improvement realized with embodiments of the method for RSS/AoA target 3-D localization in wireless networks.

Various aspects of the disclosure relate to millimeter wave ranging with six degrees of freedom. For example, a multi-gigabyte link (e.g., an IEEE 802.11ad link or an 802.11ay link) and RF/Antenna diversity modules can be used to conduct round trip time (RTT) distance measurements between an anchor point and a station. Relative location information (e.g., degrees of freedom) between the wireless devices can then be determined based on the distance measurements.

Various aspects of the disclosure relate to millimeter wave ranging with six degrees of freedom. For example, a multi-gigabyte link (e.g., an IEEE 802.11ad link or an 802.11ay link) and RF/Antenna diversity modules can be used to conduct round trip time (RTT) distance measurements between an anchor point and a station. Relative location information (e.g., degrees of freedom) between the wireless devices can then be determined based on the distance measurements.

A wireless animal location system is provided that identifies a location of a pet roaming within an environment using a single base unit. The wireless animal location system tracks and manages animal behavior in the environment using information of pet location.

An interrogator and system employing the same. In one embodiment, the interrogator includes a receiver configured to receive a return signal from a tag and a sensing module configured to provide a time associated with the return signal. The interrogator also includes a processor configured to employ synthetic aperture radar processing on the return signal in accordance with the time to locate a position of the tag.

An interrogator and system employing the same. In one embodiment, the interrogator includes a receiver configured to receive a return signal from a tag and a sensing module configured to provide a time associated with the return signal. The interrogator also includes a processor configured to employ synthetic aperture radar processing on the return signal in accordance with the time to locate a position of the tag.

A method for spatially filtering data includes receiving a plurality of signal parameter vectors including spatial-type information derived from a sensor and associated with a signal emitter, determining error magnitudes of a plurality of first and second coordinates, and transmitting the plurality of coordinates to at least two arrays of differing sparsity in an array data structure when the error magnitudes differ by a predetermined amount, where each array is representative of a physical spatial domain from which a plurality of signals are received by the sensor. The method also includes determining a plurality of elliptical error region probability objects representative of probability density functions of the plurality of coordinates, where each object is stored in association with at least one of the at least two arrays, and determining an intersection region between the plurality of objects that is representative of a location of the signal emitter.