The present invention belongs to the field of array signal processing and relates to a composite tensor beamforming method for an electromagnetic vector coprime planar array. The method includes: building an electromagnetic vector coprime planar array; performing tensor modeling of an electromagnetic vector coprime planar array receiving signal; designing a three-dimensional weight tensor corresponding to a coprime sparse uniform sub-planar array; forming a tensor beam power pattern of the coprime sparse uniform sub-planar array; and performing electromagnetic vector coprime planar array tensor beamforming based on coprime composite processing of the sparse uniform sub-planar array. Starting from the principles of receiving signal tensor spatial filtering of two sparse uniform sub-planar arrays that compose the electromagnetic vector coprime planar array, the present invention forms a coprime composite processing method based on a sparse uniform sub-planar array output signal.

A method of identifying and classifying social complex behaviors among a group of model organisms, comprising implanting at least one RFID transponder in each model organism in said group of model organisms; enclosing said group of model organisms in a monitored space divided into RFID monitored segments; RFID tracking a position of each model organism by reading said at least one RFID transponder in each model organism over a period of time; capturing a sequence of images of each model organism over said period of time; and calculating at least one spatiotemporal model of each model organism based on time synchronization of said RFID tracked position of said model organism with said sequence of images.

A method of identifying and classifying social complex behaviors among a group of model organisms, comprising implanting at least one RFID transponder in each model organism in said group of model organisms; enclosing said group of model organisms in a monitored space divided into RFID monitored segments; RFID tracking a position of each model organism by reading said at least one RFID transponder in each model organism over a period of time; capturing a sequence of images of each model organism over said period of time; and calculating at least one spatiotemporal model of each model organism based on time synchronization of said RFID tracked position of said model organism with said sequence of images.

Determining alignment and clear line-of-sight (LOS) of a satellite antenna using sensor data from an LOS sensor of the satellite antenna. Described techniques include storing first sensor data captured by the LOS sensor at a first time, the first sensor data indicating a first LOS condition of the satellite antenna corresponding to the satellite antenna having a beam LOS with a satellite of the satellite communication system that is aligned and unobstructed. The techniques may include receiving second sensor data captured by the LOS sensor at a second time after the first time, the second sensor data indicating a second LOS condition of the satellite antenna. The techniques may include determining an LOS condition change for the satellite antenna between the first time and the second time based on a comparison of the second sensor data with the first sensor data.

Determining alignment and clear line-of-sight (LOS) of a satellite antenna using sensor data from an LOS sensor of the satellite antenna. Described techniques include storing first sensor data captured by the LOS sensor at a first time, the first sensor data indicating a first LOS condition of the satellite antenna corresponding to the satellite antenna having a beam LOS with a satellite of the satellite communication system that is aligned and unobstructed. The techniques may include receiving second sensor data captured by the LOS sensor at a second time after the first time, the second sensor data indicating a second LOS condition of the satellite antenna. The techniques may include determining an LOS condition change for the satellite antenna between the first time and the second time based on a comparison of the second sensor data with the first sensor data.

A device for estimating a fixed position of a wireless communication is provided. The device comprises a radio connected to an antenna array, a memory and a process. The radio can receive a first signal transmitted from a first direction by the wireless communication device to the movable device, and a second signal transmitted from a second direction by the wireless communication device to the movable device. The processor can calculate a first angle of arrival (AOA) a second AOA. The processor can estimate the fixed position of the wireless communication device based on the first AOA, the second AOA, the first position and the second position.

The disclosure provides a method for estimating a direction of arrival of an L-type coprime array based on coupled tensor decomposition. The method includes: constructing an L-type coprime array with separated sub-arrays and modeling a received signal; deriving a fourth-order covariance tensor of the received signal of the L-type coprime array; deriving a fourth-order virtual domain signal corresponding to an augmented virtual uniform cross array; dividing the virtual uniform cross array by translation; constructing a coupled virtual domain tensor by stacking a translation virtual domain signal; and obtaining a direction of arrival estimation result by coupled virtual domain tensor decomposition. The present invention makes full use of the spatial correlation property of the virtual domain tensor statistics of the constructed L-type coprime array with the separated sub-arrays, and realizes high-precision two-dimensional direction of arrival estimation by coupling the virtual domain tensor processing, which can be used for target positioning.

This specification describes a method comprising determining an orientation of a first apparatus with respect to a second apparatus (S6.2) based on at least one radio frequency packet passed wirelessly between the first and second apparatuses, and causing performance of an active scan for the second apparatus or a third apparatus associated with the second apparatus (S6.5) only if it is determined that the orientation of the first apparatus with respect to the second apparatus satisfies at least one predetermined condition (S6.3).

This specification describes a method comprising determining an orientation of a first apparatus with respect to a second apparatus (S6.2) based on at least one radio frequency packet passed wirelessly between the first and second apparatuses, and causing performance of an active scan for the second apparatus or a third apparatus associated with the second apparatus (S6.5) only if it is determined that the orientation of the first apparatus with respect to the second apparatus satisfies at least one predetermined condition (S6.3).

A system that includes a wearable device, and a method of using the system, including: receiving, at a first transceiver element of a wearable device, a target beam from a ride-share vehicle, the element having a first axis of reception; and when the first axis is oriented toward the beam, providing an indication, via the device, to a user thereof.