G01S3/04

CIRCUITS AND METHODS FOR USING COMPRESSIVE SAMPLING TO DETECT DIRECTION OF ARRIVAL OF A SIGNAL OF INTEREST
20190361088 · 2019-11-28 ·

Mechanisms compressive sampling to detect direction of arrival (DoA) of a signal of interest (SoI), comprising: in each of a plurality of receiver paths, receiving the SoI and producing a received signal using an antenna; and using a modulator to: receive a modulator input signal (MIS) based on the received signal produced by the antenna in the path; modulate the MIS at multiple points in time (MPIT) based on different ones of a plurality of pseudo-random numbers; and produce a plurality of modulated output signals in response to the modulating of the MIS at the MPIT; summing across the receiver paths the one of the modulated output signals produced by each of the receiver paths for each of the MPIT, to produce a plurality of sum signals each corresponding to one of the MPIT; and performing a compressed sensing recovery algorithm to recover the DoA of the SoI.

Multifunction channelizer/DDC architecture for a digital receiver/exciter

A digital receiver includes a digital synthesizer that generates a local oscillating (LO) signal at a selected frequency, and a signal mixer that receives an input signal and generates a mixed output signal in response to shifting a phase of the input signal based on the frequency of the LO signal. A multi-mode dynamic channelizer is selectively operable in a first mode and a second mode. The first mode generates a plurality of individual channels having a channel size defined by a bandwidth and a gain, and the second mode generates a parallelization of a selected channel. In response to operating in the second mode, the multi-mode dynamic channelizer adjusts at least one of the bandwidth and the gain of the selected channel based on the mixed output signal to change the channel size of the selected channel.

RECONFIGURABLE ANALOG-TO-DIGITAL CONVERSION SAMPLING OF ANTENNAS FOR PHASE INTERFEROMETRY
20190353743 · 2019-11-21 ·

A system is provided that includes multiple analog-to-digital converters (ADCs), multiple antennas, and one or more processors. The one or more processors are configured, in a first mode of operation, to receive from the multiple ADCs samples of emissions received by one of the antennas and identify a signal of interest. The one or more processors are configured, in a second mode of operation, receive from the multiple ADCs samples of emissions received by the multiple antennas and identify an angle of arrival for the signal of interest.

METHOD AND APPARATUS FOR DETERMINATION OF DIRECTION OF ARRIVAL ANGLE

An apparatus configured to: receive an input dataset indicative of the amplitude and phase of radar signals received at a plurality of antenna elements; determine an objective function; determine a beam forming spectrum, the beam forming spectrum comprising a correlation of the input dataset with a set of beamsteering vectors; perform a first determination process for evaluation of the objective function comprising the processor being configured to: identify two or more peaks in the beam forming spectrum based on a predetermined threshold level, determine candidate direction-of-arrival angles therefrom for definition of a first-reduced search space; perform a second determination process for evaluation of the objective function comprising the processor being configured to: determine a peak direction-of-arrival angle comprising the direction-of-arrival angle that corresponds to a peak in the beam forming spectrum: evaluate the objective function over the first reduced search space and using the peak direction-of-arrival angle.

Method and System for Determining an Unambiguous Angle of Arrival Using Interferometry
20190346533 · 2019-11-14 · ·

A direction finding interferometer shares receivers among antennas and aperiodically switches between those antennas. The phase differences for a subset of the antenna pairs are measured for each pulse and the results are combined with the results from subsequent pulses to resolve ambiguities. An angle of arrival common to two subsets of angles of arrival is the unambiguous angle of arrival.

System for locating users

A surface within a facility, such as a floor, is equipped with electromagnetic sensors that generate data indicative of the presence of objects, such as the feet of users, at or close to the floor. The data may also be indicative of cross-coupling resulting from a transfer of an electromagnetic signal by the object, such as from one foot to another of a user. The data is processed to determine presence of individual object representations, such as representing a foot. Information about object representations such as their movement, cross-coupling, physical distance between, or features of the object representation may be determined. This data may be used to maintain the identity of particular object representations, track object representations over time, determine that particular object representations are associated with a single user and so forth. Adjacent object representations may avoid merging by using a top-down cross sectioning technique.

System and method for rank estimation of electromagnetic emitters

A system and method for rank estimation of electromagnetic emitters is provided. One aspect of the disclosure provides creating a graph of angles of arrival (AoAs) versus range and using a polynomial curve fit against the graph to determine a rank estimation of electromagnetic emitters. Another aspect of the disclosure provides using a search over parameters of the multiple polynomial curve fits, for each hypothesized rank, to optimize the rank estimation results. This search may be a greedy search to improve speed of convergence. Another aspect of the disclosure provides a metric score to select the highest probability rank (number of emitters) based on the agreement between the multiple polynomial curve fits and residual AoA errors.

System and method for rank estimation of electromagnetic emitters

A system and method for rank estimation of electromagnetic emitters is provided. One aspect of the disclosure provides creating a graph of angles of arrival (AoAs) versus range and using a polynomial curve fit against the graph to determine a rank estimation of electromagnetic emitters. Another aspect of the disclosure provides using a search over parameters of the multiple polynomial curve fits, for each hypothesized rank, to optimize the rank estimation results. This search may be a greedy search to improve speed of convergence. Another aspect of the disclosure provides a metric score to select the highest probability rank (number of emitters) based on the agreement between the multiple polynomial curve fits and residual AoA errors.

System and method for a digitally beamformed phased array feed

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Electronic Devices with Motion Sensing and Angle of Arrival Detection Circuitry

An electronic device may use information about the location of nearby devices to make sharing with those devices more intuitive for a user. The electronic device may include control circuitry, wireless circuitry including first and second antennas, and motion sensor circuitry. The control circuitry may determine the location of a nearby electronic device by calculating the angle of arrival of signals that are transmitted by the nearby electronic device. To obtain a complete, unambiguous angle of arrival solution, the electronic device may be moved into different positions during angle of arrival measurement operations. At each position, the control circuitry may calculate a phase difference associated with the received signals. Motion sensor circuitry may gather motion data as the electronic device is moved into the different positions. The control circuitry may use the received antenna signals and the motion data to determine the complete angle of arrival solution.