A system (100) for locating an object (114) includes a signal source (102) that generates a wideband signal (104) that includes a continuously variable frequency from a first frequency to a second frequency, a microwave metamaterial leaky wave antenna (106) that receives the wideband signal as an input and maps the wideband signal from the first frequency to the second frequency as electromagnetic radiation that increases as a function of an azimuthal direction (108,110,112), the microwave metamaterial leaky wave antenna (106) positionable to face toward an object that is within its field-of-view FOV, wherein the transceiver assembly is positioned to receive the electromagnetic radiation that is reflected from the object and convert the reflected electromagnetic radiation to a reflected electrical signal, and an analyzer (118) configured to identify a main beam frequency of the reflected electrical signal and determine an azimuthal angle (108,110,112) and distance to the object based on the main beam frequency.

A system (100) for locating an object (114) includes a signal source (102) that generates a wideband signal (104) that includes a continuously variable frequency from a first frequency to a second frequency, a microwave metamaterial leaky wave antenna (106) that receives the wideband signal as an input and maps the wideband signal from the first frequency to the second frequency as electromagnetic radiation that increases as a function of an azimuthal direction (108,110,112), the microwave metamaterial leaky wave antenna (106) positionable to face toward an object that is within its field-of-view FOV, wherein the transceiver assembly is positioned to receive the electromagnetic radiation that is reflected from the object and convert the reflected electromagnetic radiation to a reflected electrical signal, and an analyzer (118) configured to identify a main beam frequency of the reflected electrical signal and determine an azimuthal angle (108,110,112) and distance to the object based on the main beam frequency.

In an array antenna having a plurality of subarrays, a direction finding system and technique includes receiving signals at an array antenna and capturing data with a plurality of groups of subarrays. Each group of subarrays may capture data during a selected one of a plurality of different dwell times. The method further includes generating a plurality of dwell spatial sample covariance matrices (SCMs) using data corresponding to one or more of the plurality of groups of subarrays and combining the plurality of dwell spatial SCMs in complex form to generate an aggregate covariance matrix (ACM). The ACM may then be used in subsequent processing with MINDIST technique to estimate a direction of a received signal based on the combined data.

Methods and apparatus to visualize locations of radio frequency identification (RFID) tagged items are described. One example method includes receiving a request from a portable electronic device to access product information associated with an individual radio frequency identification (RFID) tagged item, determining a location of the product information in a database, transmitting the located product information to the portable electronic device for display thereon, receiving modified product information associated with the individual RFID tagged item from the portable electronic device, and storing the modified product information to the location of the product information in the database.

A device includes a memory and processing circuitry coupled to the memory. The processing circuitry, in operation, generates an indication of a predicted difference in a direction of arrival (DoA) of a signal using a trained autoregressive model. A predicted indication of a DoA of the signal is generated based on a previous indication of the DoA of the signal and the indication of the predicted difference in the DoA of the signal. The processing circuitry actuates or controls an antenna array based on predicted indications of the DoA of the signal.

A method of determining incident angles of Radio Frequency, RF, signals received by an antenna array comprising a plurality of antennae is described. The method comprises generating a plurality of direction finding, DF, signals based on antenna signals received from the antenna array, wherein each DF signal corresponds to a respective antenna array element and each antenna array element corresponds to one or more antennae. A plurality of DF spectra are then generated, each DF spectrum corresponding to a respective DF signal and comprising measured values of signal power at two or more given respective frequencies. An incident signal angle is calculated for each given frequency, based on the measured values of power at the frequency, the configuration of the antennae in the antenna array and antenna gain patterns corresponding to the antenna array elements.

Heatmap data, such as Angle-of-Arrival heatmap data, is generated and stored for a plurality of antennas of wireless communication device. A centroid of the plurality of antennas is determined. A heatmap is computed for the centroid for a measured parameter across a plurality of bins at coordinates within a region of interest. Heatmap data for the centroid is stored. For a given one of the plurality of antennas, a difference is computed between a heatmap for the given antenna and the heatmap for the centroid. The difference data representing the difference is stored for the given antenna.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

In some aspects, a mobile device may receive, from a transmitting device, the signal by a plurality of antennas. The mobile device may measure one or more phase differences among the signal received at the plurality of antennas. The mobile device may determine a first set of possible values for the angle of arrival that are consistent with the one or more phase differences. The mobile device may measure one or more signal values using one or more sensors of the mobile device. The mobile device may for each of the first set of possible values, determining a confidence score based on the one or more signal values. The mobile device may select, based on the confidence scores, one of the first set of possible values as the angle of arrival.