Systems and techniques are provided for indoor positioning for mobile devices. An orientation of a mobile device may be determined. An angle of a line-of-sight between the mobile device and the base station may be determined based on a peak received signal strength of a signal from the base station at a beamforming antenna of the mobile device. A distance between the mobile device and the base station may be determined based on the peak received signal strength. The mobile device may calculate the location of the mobile device using the measured orientation, the angle of the line-of-sight, and the distance between the mobile device and the base station, and a location of the base station.

The present invention discloses a system and a method for detecting, localizing and categorizing radio frequency (RF) emitting sources. In operation presence of one or more RF sources are determined. Further, movement in the detected one or more RF sources is detected based on at least presence of spread power in spatial harmonics and visibility phase measurement. The frequencies of the radio waves at which the movement of one or more RF sources is detected are identified. A localization antenna subsystem is tuned to the identified frequencies one at a time to localize and identify the RF sources. Furthermore, the RF source is classified as an airborne source or ground-based source using radio interferometry imaging. Finally, on determination that the moving RF source is airborne, the interferometric images are further processed to confirm the type of airborne source.

An example method for estimating the angle-of-arrival (AoA) and other parameters of radio frequency (RF) signals that are received by an antenna array comprises: receiving a plurality of radio frequency (RF) signal power measurements by a plurality of antenna elements at a plurality of RF channels; computing, by applying a machine learning model to the plurality of RF signal power measurements, an estimated RF signal parameter value; and outputting the RF signal parameter value.

An example method for estimating the angle-of-arrival (AoA) and other parameters of radio frequency (RF) signals that are received by an antenna array comprises: receiving a plurality of radio frequency (RF) signal power measurements by a plurality of antenna elements at a plurality of RF channels; computing, by applying a machine learning model to the plurality of RF signal power measurements, an estimated RF signal parameter value; and outputting the RF signal parameter value.

A wireless communication device includes: a plurality of subarrays each including a plurality of antenna elements and an analog circuit configured to perform a given analog process on signals to be transmitted from or received by the antenna elements; and a processor that is connected to the subarrays. The processor executes a process including: estimating direction of arrivals from which signals transmitted from a plurality of terminals come; calculating maps based on trigonometric functions of angles representing the estimated direction of arrivals; generating a plurality of groups to which the terminals belong based on the calculated maps; assigning, to each of the groups, a combination of subarrays to generate directional beams that do not interfere with each other; and determining weighting coefficients to generate directional beams in directions of the terminals which belongs to each group by using the combination of subarrays assigned.

A wireless communication device includes: a plurality of subarrays each including a plurality of antenna elements and an analog circuit configured to perform a given analog process on signals to be transmitted from or received by the antenna elements; and a processor that is connected to the subarrays. The processor executes a process including: estimating direction of arrivals from which signals transmitted from a plurality of terminals come; calculating maps based on trigonometric functions of angles representing the estimated direction of arrivals; generating a plurality of groups to which the terminals belong based on the calculated maps; assigning, to each of the groups, a combination of subarrays to generate directional beams that do not interfere with each other; and determining weighting coefficients to generate directional beams in directions of the terminals which belongs to each group by using the combination of subarrays assigned.

Systems and methods are provided in which a direction of arrival of a radio frequency (RF) signal received by a plurality of antennas is determined. A plurality of first converter receives RF signals from the plurality of antennas and outputs a minimum of a first optical signal and a second optical signal each modulated by their corresponding RF signal. A plurality of second converters receives a minimum of the first optical signal via a first optical channel that introduces a first delay and the second optical signal via a second optical channel that introduces a second delay. The second converter outputs a first RF signal that corresponds to the RF modulation on the first optical signal and a second RF signal that corresponds to the RF modulation on the second optical signal. A switch serially receives, from the second converter outputs, the first RF signal and the second RF signal. A direction finding subsystem determines a direction of arrival using a phase difference between the first RF signal and the second RF signal.

Systems and methods are provided in which a direction of arrival of a radio frequency (RF) signal received by a plurality of antennas is determined. A plurality of first converter receives RF signals from the plurality of antennas and outputs a minimum of a first optical signal and a second optical signal each modulated by their corresponding RF signal. A plurality of second converters receives a minimum of the first optical signal via a first optical channel that introduces a first delay and the second optical signal via a second optical channel that introduces a second delay. The second converter outputs a first RF signal that corresponds to the RF modulation on the first optical signal and a second RF signal that corresponds to the RF modulation on the second optical signal. A switch serially receives, from the second converter outputs, the first RF signal and the second RF signal. A direction finding subsystem determines a direction of arrival using a phase difference between the first RF signal and the second RF signal.

Methods and systems for spatial filtering transmitters and receivers capable of simultaneous communication with one or more receivers and transmitters, respectively, the receivers capable of outputting source directions to humans or devices. The methods and systems use spherical wave field partial wave expansion (PWE) models for transmitted and received fields at antennas and for waves generated by contributing sources. The source PWE models have expansion coefficients expressed as functions of directional coordinates of the sources. For spatial filtering receivers a processor uses the output signals from at least one sensor outputting signals consistent with Nyquist criteria representative of the wave field and the source PWE model to determines directional coordinates of sources (wherein the number of floating point operations are reduced) and outputs the directional coordinates and communications to a reporter configured for reporting information to humans. For spatial filtering transmitters a processor uses known receiver directions and source partial wave expansions to generate signals for transducers producing a composite total wave field conveying communications to the specified receivers. The methods and communications reduce the processing required for transmitting and receiving spatially filtered communications.

Methods and systems for spatial filtering transmitters and receivers capable of simultaneous communication with one or more receivers and transmitters, respectively, the receivers capable of outputting source directions to humans or devices. The methods and systems use spherical wave field partial wave expansion (PWE) models for transmitted and received fields at antennas and for waves generated by contributing sources. The source PWE models have expansion coefficients expressed as functions of directional coordinates of the sources. For spatial filtering receivers a processor uses the output signals from at least one sensor outputting signals consistent with Nyquist criteria representative of the wave field and the source PWE model to determines directional coordinates of sources (wherein the number of floating point operations are reduced) and outputs the directional coordinates and communications to a reporter configured for reporting information to humans. For spatial filtering transmitters a processor uses known receiver directions and source partial wave expansions to generate signals for transducers producing a composite total wave field conveying communications to the specified receivers. The methods and communications reduce the processing required for transmitting and receiving spatially filtered communications.