Abstract: Systems and method for determining an angle of arrival of a radio frequency (RF) signal are disclosed. A radio frequency receiving system as disclosed herein can include a plurality of antenna or receiving elements formed on a common plane. A spacing between the receiving elements can be arbitrary. In response to receiving a radio frequency signal, a difference in an integer number of wavelengths that have passed and a difference in a phase of the received signal is determined between each of a plurality of pairs of antenna elements. More particularly, a residual error is calculated for each possible difference in the number of integer wavelengths that can occur as the received signal travels to the elements in each pair of elements. A solution with a minimum residual value is taken as the difference in the actual integer number of wavelengths that have been traversed by the received signal. That integer value and the detected phase difference is applied to determine the angle of arrival.

Abstract: Methods and systems for processing a noisy time series input to detect a signal, generate a de-noising mask, and/or output a de-noised time series output are provided. The input is transformed into one or more datagrams, such as real and imaginary time-frequency grams. The datagrams are stacked and provided as first and second channel inputs to a neural network. A neural network is trained to detect signals within the input. Alternatively or in addition, the network is trained to generate a de-noise mask, and/or to output a de-noised time series output. Implementation of the method and systems can include the use of multiple deep neural networks (DNNs), such as convolutional neural networks (CNN's), that are provided with inputs in the form of RF spectrograms. Embodiments of the present disclosure can be applied to various RF devices, such as communication devices, including but not limited to multiple inputs multiple output (MIMO) devices and 5G communication system devices, and RADAR devices.

Abstract: The disclosure relates to determining a position of a mobile device relative to a perimeter of a virtual fence. An embodiment receives coordinates representing the perimeter of the virtual fence, determines a proximate location of the mobile device using a hybrid combination of a satellite-based proximate location and an auxiliary local station-based proximate location, and provides feedback based on a comparison of the proximate location of the mobile device to the coordinates representing the perimeter of the virtual fence.

Abstract: The disclosure relates to determining a position of a mobile device relative to a perimeter of a virtual fence. An embodiment receives coordinates representing the perimeter of the virtual fence, determines a proximate location of the mobile device using a hybrid combination of a satellite-based proximate location and an auxiliary local station-based proximate location, and provides feedback based on a comparison of the proximate location of the mobile device to the coordinates representing the perimeter of the virtual fence.