Movano Inc.

Siden, Inc.

Matthew Bromberg

Narayan Parappil Menon

John L Norin

Boris Bogatin

A method of operating a communication system includes communicating a sounding signal to a plurality of devices through a first antenna array coupled to a basestation. The method further includes, in response to the sounding signal, communicating a response signal to the basestation from each of the plurality of devices, from the response signal determining device data comprising a device location, a signal strength of the sounding signal and phase information of the sounding signal, grouping the plurality of devices into a first group based on the device data, generating first transmit beamforming weights for the first group to shape the power output of the first beamforming weight vector to communicate a data signal to the first group and broadcasting the data signal to the first group through a wireless signal from the first antenna array using the first transmit beamforming weights and nulls.

Dynamic wireless broadcast system and method for operating the same

There is provided a method of parameter estimation in a multi-channel signal environment system wherein a plurality of receiving antennas receives signals or waves from one or more targets due to one or more transmitters that transmit a predetermined signal that is reflected back from the targets or receives signals that are directly transmitted from one or more external transmitters to the receiving antennas and then processed over multiple frequencies or channels by a digital receiver connected to one or more processors. The method comprises steps including (a) comparing received voltages to an analytic or a table driven calibrated channel model without only relying on information from lossy intermediate steps such as time of arrival ('TOA') or angle of arrival ('AOA') measurements; and (b) mitigating channel model calibration errors, including multiplicative channel noise, phase noise, clutter or multipath modeling errors, by using a noise model to estimate away error nuisance parameters, either during a prior calibration process or during a real time calibration process concurrent with localization and parameter estimation during normal system operation.

Calibration, classification and localization using channel templates

There is provided a method of parameter estimation in a multi-channel signal environment where a plurality of receive antennas receive signals from one or more transmitters that transmit a signal or wave that is reflected from one or more targets, or receive antennas that receive directly from the transmitters, whose received signals are processed over multiple frequencies or channels by a digital receiver. The method comprises (a) calibrating before the operation of the digital receiver to determine the free parameters of a mathematical model of a channel either as the channel model parameters or in the form of tabulated data; (b) calibrating during the operation of the digital receiver to determine the channel model; (c) comparing received antennas array voltages to an analytic or table driven channel model from a calibrated template without only relying on information lossy intermediate steps such as delay time of arrival or angle of arrival measurements; (d) creating a statistical likelihood function modeling receiver noise to determine model channel parameters or prior channel uncertainty; (e) saving target reflector/emitter parameters to be reused for dynamic tracking; and (f) using Bayesian particle filtering or Maximum Likelihood Methods to update mixture models for the unknown parameters.

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Wenatchee, WA, United States of America

Matthew Bromberg