A method determines a presence of a motor-driven tool inside a tool position region and/or a tool position of the tool. A transmitter is mechanically connected to the tool, wherein the transmitter wirelessly transmits a signal. The transmitted signal is attenuated by the tool and has an item of transmitter information for taking the attenuation into account. The method has the steps of: capturing a respective reception signal strength value of the transmitted signal at receivers, wherein the receivers are arranged at different receiver positions; and determining the presence of the tool inside the tool position region and/or the tool position of the tool on the basis of the captured reception signal strength values and the received transmitter information for taking the attenuation into account.

A communications device and a data receiving method thereof are provided. The communications device includes: a receiver antenna receiving data; a receiver phase shifter forming a first sum beam and a first difference beam based on a first estimated direction-of-arrival (DOA); a receiver radio frequency (RF) chain generating first difference beam output using the first difference beam formed during a first data period of the received data and generating first sum beam output using the first sum beam formed in a second data period of the received data, which is different from the first data period; and a receiver controller calculating an offset vector between an actual DOA and the first estimated DOA based on the first difference beam output and the first sum beam output.

Example apparatus, systems and methods use a receiver of a first device to receive from a second device, radio frequency (RF) signals. Embodiments use a processor of the first device to determine, based on the RF signals, a set of angle-estimation values of an angle between a plurality of antenna elements of one of the first device and the second device and an antenna element of the other of the first device and the second device, and a set of confidence measurements. Each of the set of confidence measurements indicates a confidence of an angle-estimation value of the set of angle-estimation values.

Example apparatus, systems and methods use a receiver of a first device to receive from a second device, radio frequency (RF) signals. Embodiments use a processor of the first device to determine, based on the RF signals, a set of angle-estimation values of an angle between a plurality of antenna elements of one of the first device and the second device and an antenna element of the other of the first device and the second device, and a set of confidence measurements. Each of the set of confidence measurements indicates a confidence of an angle-estimation value of the set of angle-estimation values.

Systems, methods, and apparatus cause a first wireless device to transmit to a plurality of locator devices, an extended signal including a first segment and second segment. The first segment includes an indication for each of the plurality of locator devices to listen for a change in the extended signal from the first segment to the second segment. The second segment includes an indication for each of the plurality of locator devices to rotate through a plurality of antennas to receive the second segment via the plurality of antennas. Responsive to the transmitting of the extended signal, receiving direction data from each of the plurality of locator devices.

An apparatus of detecting a relative position may include first and second receivers configured to receive signals transmitted from a portable device; and a processor configured to determine a position where the portable device is located and a direction indicated by the portable device based on a strength of a first signal received by the first receiver and a strength of a second signal received by the second receiver. The processor may be configured to determine the position where the portable device is located based on a sum between the strength of the first signal and the strength of the second signal, and to determine the direction indicated by the portable device based on a difference between the strength of the first signal and the strength of the second signal.

Apparatuses and methods are disclosed that allow for the detection, identification and direction finding of search and rescue beacons in a variety of environments. The techniques may be used to identify a line of bearing (LOB) to 121.5 MHz rescue beacons found in aircraft (ELTs), marine beacons (EPIRBs), and personal locator beacons (PLBs). Multiple lines of bearing may be used to geo-locate a target emitter if so desired. The methods may utilize, for example, a handheld device that is designed for search and rescue activity. Additionally, this device may be able to decode a 406 MHz frequency beacon that communicates with the satellite system that is controlled by COSPAS SARSAT. This constellation of rescue satellites coordinates the location of 406 MHz rescue beacons.

An apparatus of detecting a relative position may include first and second receivers configured to receive signals transmitted from a portable device; and a processor configured to determine a position where the portable device is located and a direction indicated by the portable device based on a strength of a first signal received by the first receiver and a strength of a second signal received by the second receiver. The processor may be configured to determine the position where the portable device is located based on a sum between the strength of the first signal and the strength of the second signal, and to determine the direction indicated by the portable device based on a difference between the strength of the first signal and the strength of the second signal.

In one embodiment, a device obtains a machine learning model indicative of how to focus on particular location information from a plurality of radio frequency (RF) elements to provide an accurate location estimate of a wireless client based at least in part on angle-of-arrival information of the wireless client. When the device then obtains location information regarding the wireless client from the plurality of RF elements, it may apply the machine learning model to the location information regarding the wireless client to focus on particular location information of the location information from the plurality of RF elements. The device may then estimate a physical location of the wireless client based on focusing on the particular location information during a locationing computation.

Systems, methods, and apparatus receive a signal from a first wireless device through a first antenna, of a plurality of antennas, the signal including a first segment and a second segment. Responsive to detecting a change in the signal from the first segment to the second segment, embodiments traverse the plurality of antennas to receive the second segment through each of the plurality of antennas. Embodiments determine a plurality of phase samples, each associated with the second segment received through one of the plurality of antennas. Embodiment then use the plurality of phase samples to calculate direction data associated with the first wireless device.