An array antenna system consists of layered construct of subarrays. Each beam pointing angle requires an antenna weight vector (AWV). A circuit tracks the changing orientation of a beam within a much larger virtual array of antenna weights. A row or column of a local RAM may be determined to be least likely to be read next and is overwritten with antenna weights more likely to be read next. An address translation circuit represents the RAM as a barrel. An adaptively adjusted antenna weight method optimizes received signal power. A beam splitting method provides a mirror beam pointing direction by wrapping around a look ahead table of antenna weight vectors when an antenna is itself gyrating or when a remote transceiver is anticipated to transit the horizon.

An array antenna system consists of layered construct of subarrays. Each beam pointing angle requires an antenna weight vector (AWV). A circuit tracks the changing orientation of a beam within a much larger virtual array of antenna weights. A row or column of a local RAM may be determined to be least likely to be read next and is overwritten with antenna weights more likely to be read next. An address translation circuit represents the RAM as a barrel. An adaptively adjusted antenna weight method optimizes received signal power. A beam splitting method provides a mirror beam pointing direction by wrapping around a look ahead table of antenna weight vectors when an antenna is itself gyrating or when a remote transceiver is anticipated to transit the horizon.

An array antenna system consists of layered construct of subarrays. Each beam pointing angle requires an antenna weight vector (AWV). A circuit tracks the changing orientation of a beam within a much larger virtual array of antenna weights. A row or column of a local RAM may be determined to be least likely to be read next and is overwritten with antenna weights more likely to be read next. An address translation circuit represents the RAM as a barrel. An adaptively adjusted antenna weight method optimizes received signal power. A beam splitting method provides a mirror beam pointing direction by wrapping around a look ahead table of antenna weight vectors when an antenna is itself gyrating or when a remote transceiver is anticipated to transit the horizon.

An array antenna system consists of layered construct of subarrays. Each beam pointing angle requires an antenna weight vector (AWV). A circuit tracks the changing orientation of a beam within a much larger virtual array of antenna weights. A row or column of a local RAM may be determined to be least likely to be read next and is overwritten with antenna weights more likely to be read next. An address translation circuit represents the RAM as a barrel. An adaptively adjusted antenna weight method optimizes received signal power. A beam splitting method provides a mirror beam pointing direction by wrapping around a look ahead table of antenna weight vectors when an antenna is itself gyrating or when a remote transceiver is anticipated to transit the horizon.

Systems, methods, and other embodiments associated with reflectors are described. One example system comprises a collection antenna. The system also comprises a reflector configured to reflect a designated signal to the collection antenna and configured to reflect a non-designated signal away from the collection antenna.

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.

An antenna apparatus for use in a wireless network and method of operating such an antenna apparatus are provided. The antenna apparatus has omnidirectional antenna elements and RF chains, where there are fewer RF chains than omnidirectional antenna elements. A subset of the omnidirectional antenna elements are coupled to the RF chains and sampling circuitry coupled to the RF chains samples the signals received by the subset of the omnidirectional antenna elements. This forms part of a signal detection process in which different subsets of the omnidirectional antenna elements are iteratively coupled to the RF chains. A signal sample spatial covariance matrix for the omnidirectional antenna elements is constructed from the signals sampled by the sampling circuitry at each iteration and a beamforming algorithm applied to the signal sample spatial covariance matrix parameterizes the signals received by the omnidirectional antenna elements.

An antenna apparatus for use in a wireless network and method of operating such an antenna apparatus are provided. The antenna apparatus has omnidirectional antenna elements and RF chains, where there are fewer RF chains than omnidirectional antenna elements. A subset of the omnidirectional antenna elements are coupled to the RF chains and sampling circuitry coupled to the RF chains samples the signals received by the subset of the omnidirectional antenna elements. This forms part of a signal detection process in which different subsets of the omnidirectional antenna elements are iteratively coupled to the RF chains. A signal sample spatial covariance matrix for the omnidirectional antenna elements is constructed from the signals sampled by the sampling circuitry at each iteration and a beamforming algorithm applied to the signal sample spatial covariance matrix parameterizes the signals received by the omnidirectional antenna elements.

This disclosure concerns wearable and/or handheld mobile electronic devices and methods for directional proximity detection of other wearable and/or handheld mobile electronic devices. A first wearable and/or handheld mobile electronic device (1) for directional proximity detection comprises a signal transceiver configured for wireless communication, and a control unit for the wireless communication. The control unit is operatively connected to the signal transceiver and configured to receive at least one wireless signal from a second wearable and/or handheld mobile electronic device (2), calculate spatial information regarding the second wearable and/or handheld mobile electronic device by means of the signal/-s transmitted from the second wearable and/or handheld mobile electronic device to the first wearable and/or handheld mobile electronic device, and configure a notification for the user of the first wearable and/or handheld mobile electronic device based on at least the spatial information regarding the second wearable and/or handheld mobile electronic device.