Disclosed examples include a radar system that operates in a first mode and a second mode. In the first mode, the system detects the presence of an object within a threshold range. In response to detection of the presence of the object, the system transitions to the second mode, and the system generates range data, velocity data, and angle data of the object in the second mode. When the object is no longer detected within the threshold range, the system transitions back to the first mode.

Disclosed examples include a radar system that operates in a first mode and a second mode. In the first mode, the system detects the presence of an object within a threshold range. In response to detection of the presence of the object, the system transitions to the second mode, and the system generates range data, velocity data, and angle data of the object in the second mode. When the object is no longer detected within the threshold range, the system transitions back to the first mode.

Embodiments of the disclosure provide a method and device for positioning a communication device. According to embodiments of the present disclosure, the communication device may determine, without phase information of the signals, a direction of other communication device based on an association between strength levels of signals received from the other communication device and angles at which the signals are received for better accuracy. According to embodiments of the present disclosure, the communication device may determine the direction of the other communication device without phase information of the received signals based on MUSIC algorithm. According to the embodiments of the present disclosure, the method may also be implemented in a multipath scenario.

The disclosed computer-implemented method may include determining a wireless identifier associated with a vehicle computing device coupled to a vehicle, transmitting wireless signals for receipt by an antenna included in the vehicle computing device, establishing a wireless connection to the vehicle computing device via one or more of the wireless signals using the wireless identifier, receiving, via the wireless connection, bearing information that indicates a bearing of the vehicle computing device relative to the requestor computing device, the bearing information being based on an angle of arrival of the one or more wireless signals received by the antenna, and displaying information describing a location of the vehicle relative to the requestor computing device based at least in part on the bearing information. Various other methods, systems, and computer-readable media are also disclosed.

A measuring system for determining a directional characteristic of a first signal is provided. The device under test comprises sensor means for determining its position and/or orientation. The measuring system comprises positioning means for positioning and/or orienting the device under test, and a measuring device. The position and/or orientation are transmitted by the device under test to the measuring device. The measuring device comprises antenna means for receiving or sending the first signal and processing means for processing the position and/or orientation information. The processing means determine the directional characteristic at least from the position and/or orientation.

A measuring system for determining a directional characteristic of a first signal is provided. The device under test comprises sensor means for determining its position and/or orientation. The measuring system comprises positioning means for positioning and/or orienting the device under test, and a measuring device. The position and/or orientation are transmitted by the device under test to the measuring device. The measuring device comprises antenna means for receiving or sending the first signal and processing means for processing the position and/or orientation information. The processing means determine the directional characteristic at least from the position and/or orientation.

A directional receiver system may include a receiver, a plurality of receive antenna elements, and a circuit. The receiver may include an input port and an output. The plurality of receive antenna elements may be fixedly configured into a known geometric relationship to each other, and each of the receive antenna elements may be connected to the input port of the receiver. The circuit may be coupled to the output of the receiver, configured to determine time differences at which signals from a source are incident upon the antenna elements, and configured to determine an angular orientation of the source to the receive antenna elements based on the time differences.

The present application is related to a method for detection of a signal, the method comprising the steps of performing continuously a direction finding in time-frequency intervals within a time range and a frequency range, determining for each frequency interval a distribution of the direction finding results, DFRs, for all time intervals and evaluating the determined distribution of direction finding results, DFRs, to detect the existence of a signal emitted by a signal source.

The present application is related to a method for detection of a signal, the method comprising the steps of performing continuously a direction finding in time-frequency intervals within a time range and a frequency range, determining for each frequency interval a distribution of the direction finding results, DFRs, for all time intervals and evaluating the determined distribution of direction finding results, DFRs, to detect the existence of a signal emitted by a signal source.

Techniques for generating a prediction for a location of a mobile device includes a network controller obtaining signal strength information and angle-of-arrival information for mobile devices from a plurality of access points disposed at a location that includes two or more zones. The network controller extracts features from the obtained information. The features indicate whether the mobile devices are more likely in a first zone than in one or more of second zones of the two or more zones. The network controller generates a software model for classifying a mobile device into one of the two or more zones by applying a computer learning process to the extracted features. The network controller uses the software model to generate a prediction indicating that a first mobile device is in one of the two or more zones, and performs an action at the location based on the prediction.