公开(公告)号：US20240243779A1

公开(公告)日：2024-07-18

申请号：US18412151

申请日：2024-01-12

Applicant: Tektronix, Inc.

Inventor： Kan Tan ,  Keith R. Tinsley ,  John J. Pickerd

IPC: H04B7/04 ,  H04B7/0413

CPC classification number: H04B7/04013 ,  H04B7/0413

Abstract: A method of characterizing a communication channel includes receiving a first signal from a set of transmitters reflected along a reflected channel from each element of a reconfigurable intelligent surface (RIS) set at a nominal angle, receiving a second signal reflected in the reflected channel from each element of the RIS set at an adjusted angle, using the first and second signals to determine a transfer function for a combined channel comprised of a reflected channel and a direct channel, and using the transfer function as an input to a machine learning network to determine optimized settings for the elements of the RIS. A communications system includes a set of transmitters, a reconfigurable intelligent surface (RIS), one or more receivers positioned to receive signals reflected by the RIS from the set of transmitters, and a machine learning system configured to produce optimized angles for elements of the RIS.

公开(公告)号：US20240288540A1

公开(公告)日：2024-08-29

申请号：US18436661

申请日：2024-02-08

Applicant: Tektronix, Inc.

Inventor： Keith R. Tinsley ,  Sangsu Lee ,  Saad Mufti

IPC: G01S7/40 ,  G01S7/295

CPC classification number: G01S7/4021 ,  G01S7/2955

Abstract: A communication network has multiple nodes, each node having one or more antennas, one or more input ports to receive communication signals from the antenna, a memory to store data associated with the communication signals, and one or more processors to gather local data about an environment, communicate with other nodes as needed, and use the local data to determine optimized operational settings for the node. A sensor device has one or more antennas to receive communication signals from other nodes in a communication network, one or more input ports to receive the communication signals, one or more output ports to transmit communication signals, a memory to store data associated with the communication signals, and one or more processors to determine a position of the sensor, transmit signals, receive return signals, produce return signal data, and use a machine learning system on the return signal data to identify unblocked ports.

公开(公告)号：US20240127059A1

公开(公告)日：2024-04-18

申请号：US18482801

申请日：2023-10-06

Applicant: Tektronix, Inc.

Inventor： Keith R. Tinsley

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A machine learning network has a plurality of test and measurement devices, one or more of the test and measurement devices has one or more communication interfaces configured to allow the device to receive and process physical layer signals, a memory, and one or more processors configured to execute code to cause the one or more processors to receive physical layer data, perform one or more operations on the physical layer data according to a machine learning model to produce changed physical layer data, and transmit the changed physical layer data to at least one other node in the machine learning neural network. The machine learning network may include a learner node.

公开(公告)号：US20240039645A1

公开(公告)日：2024-02-01

申请号：US18357978

申请日：2023-07-24

Applicant: Tektronix, Inc.

Inventor： Keith R. Tinsley

IPC: H04B17/12 ,  H04B17/16 ,  H04B17/21

CPC classification number: H04B17/12 ,  H04B17/16 ,  H04B17/22 ,  H04B7/0413

Abstract: A communication system includes one or more transmitters, each transmitter to: transmit communication signals using a defined signaling protocol with multiple antenna elements to a target receiver, the communication signals containing known specific transmit sequences spread across a frequency spectrum of the communication signals to be detectable only by receivers having the known specific transmit sequences, and receive feedback from the target receiver indicating any errors in reception of the communication signals based upon the known specific transmit sequences, and a machine learning system to use configuration of the multiple antenna elements when the communication signal was sent and the feedback to predict preconfigured settings for transmitters. A test and measurement system located at a base station, a signal generator to generate one or more signals having a predetermined modulation format, a receiver to receive the one or more signals, and a machine learning system to develop a calibration matrix.