Embodiments of the disclosure are drawn to apparatuses, systems, and methods for radio direction finding with an iterative ambiguity resolution algorithm. An antenna array may receive an emitted signal. Two or more phase shifts in the received emitted signal may be determined between two or more pairs of antennas of the antenna array. A set of possible expected phase shifts may be generated from at least two of the measured phase shift. To determine the proper one of the set of expected phase shifts, a set of initial guesses for parameters of a fitting equation may be generated and then each may be optimized to determine optimized fitting parameters. From these optimized fitting parameters a direction of arrival of the emitted signal may be determined.

A direction detection device includes: antennas that receive a received wave; an intensity difference imparting unit that imparts intensity differences different depending on the received-wave arrival direction to intensities of the received wave; a storage unit that stores an intensity difference table in which the intensity difference between two of the antennas is associated with the received-wave arrival direction, for each combination of any two of the antennas; a detector that detects an intensity difference between the two antennas and a phase difference between the two antennas, of the received wave; an extractor that extracts, from the table, a received-wave arrival direction corresponding to the detected intensity difference, for each combination; a calculation unit that calculates a received-wave arrival direction corresponding to the detected phase difference; and a comparator that compares the extracted received-wave arrival direction with the calculated received-wave arrival direction to acquire a matched received-wave arrival direction.

A direction detection device for detecting a received-wave arrival direction of a received wave, and includes: antennas for receiving the received wave; an intensity difference imparting unit that imparts intensity differences different depending on the received-wave arrival direction to intensities of the received wave; a storage unit that stores an intensity difference table an which the intensity difference between two of the antennas is associated with the received-wave arrival direction, for each combination of any two of the antennas; a detector that detects the intensity difference between the two antennas of the received wave; an extractor that extracts, from the intensity difference table, received-wave arrival directions corresponding to the intensity difference detected by the detector, for each combination; and a comparator that compares the received-wave arrival directions extracted by the extractor between the combinations of the antennas to acquire a matched received-wave arrival direction as a detection result.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for positioning a radio signal receiver at a first location within a three dimensional space; positioning a transmitter at a second location within the three dimensional space; transmitting a transmission signal from the transmitter to the radio signal receiver; processing, using a machine-learning network, one or more parameters of the transmission signal received at the radio signal receiver; in response to the processing, obtaining, from the machine-learning network, a prediction corresponding to a direction of arrival of the transmission signal transmitted by the transmitter; computing an error term by comparing the prediction to a set of ground truths; and updating the machine-learning network based on the error term.

Embodiments of the disclosure are drawn to apparatuses, systems, and methods for radio direction finding with an iterative ambiguity resolution algorithm. An antenna array may receive an emitted signal. Two or more phase shifts in the received emitted signal may be determined between two or more pairs of antennas of the antenna array. A set of possible expected phase shifts may be generated from at least two of the measured phase shift. To determine the proper one of the set of expected phase shifts, a set of initial guesses for parameters of a fitting equation may be generated and then each may be optimized to determine optimized fitting parameters. From these optimized fitting parameters a direction of arrival of the emitted signal may be determined.

A transceiver configured to: determine a reference frequency offset relative to a second transceiver based on double sided ranging; correct first and second portions of a packet received from a respective first and second antenna; and determine an angle of arrival of the packet based on corrected first and second portions and the reference frequency offset.

[FIG. 10]

Example techniques relate to playback based on acoustic signals in a system including a first network device and a second network device. A first network device may detect a presence of a user using a camera and/or infrared sensors. The first network device sends, in response to detecting the presence of the user, a particular signal via the first network interface. The second network device receives data corresponding to the particular signal and plays back an audio output corresponding to the particular signal.

This method involves, for an array of at least two antennas pointing in different directions and the respective radiation patterns of which overlap one another, each antenna including at least two radiating elements so as to be able to work in a first operating mode associated with a first radiation pattern (Δ) and according to a second operating mode associated with a second radiation pattern (Σ): acquiring, for each antenna, a first signal (SΔi) corresponding to the first operating mode and a second signal (SΣi) corresponding to the second operating mode; determining, for each antenna, an opening half-angle (ρi) of a cone of possible directions of incidence from the amplitude of the first and second signals; calculating the bearing angle (⊖0) and/or the elevation angle (φ0) of the direction of incidence by intersection of the cones of possible directions of incidence determined for each antenna.

A method for jointly estimating gain-phase error and direction of arrival (DOA) based on an unmanned aerial vehicle (UAV) array includes: equipping each UAV with an antenna, and forming a receive array through a swarm of multiple UAVs to receive source signals; when an observation baseline of the swarm remains unchanged, changing array manifold through movement of the UAVs, and re-sensing the source signals; for each sensed source signals, calculating a covariance matrix, and obtaining a corresponding noise subspace through eigenvalue decomposition; and constructing a quadratic optimization problem based on the noise subspace and array steering vector, constructing a cost function, and implementing joint estimation of the gain-phase error and the DOA through spectrum peak search. The method can jointly estimate the DOA and gain-phase error and calibrate the gain-phase error, thereby improving accuracy of passive positioning.

An electronic device includes a processor configured to: receive a Radio Frequency (RF) signal of a designated frequency band from an external electronic device by using at least two antennas among the multiple antennas; acquire first angle-of-arrival data of the RF signal, based on at least a part of the RF signal; determine a posture of the electronic device based on tilt information of the electronic device provided from a sensor module; based on the electronic device that is determined to be tilted in the first direction or the second direction; identify a compensation value corresponding to tilt information of the electronic device; acquire second angle-of-arrival data by applying the compensation value to the first angle-of-arrival data; and determine a location of the external electronic device based on the second angle-of-arrival data.