20240039645. INLINE INSITU CALIBRATION OF MIMO WIRELESS COMMUNICATION SYSTEMS simplified abstract (Tektronix, Inc.)

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INLINE INSITU CALIBRATION OF MIMO WIRELESS COMMUNICATION SYSTEMS

Organization Name

Tektronix, Inc.

Inventor(s)

Keith R. Tinsley of Beaverton OR (US)

INLINE INSITU CALIBRATION OF MIMO WIRELESS COMMUNICATION SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240039645 titled 'INLINE INSITU CALIBRATION OF MIMO WIRELESS COMMUNICATION SYSTEMS

Simplified Explanation

The patent application describes a communication system that uses multiple transmitters with antenna elements to transmit communication signals to a target receiver. The communication signals contain specific transmit sequences spread across a frequency spectrum, making them detectable only by receivers with the known specific transmit sequences. The transmitters receive feedback from the target receiver indicating any errors in reception based on the known transmit sequences. A machine learning system uses the configuration of the antenna elements and the feedback to predict preconfigured settings for the transmitters.

  • The communication system includes multiple transmitters with antenna elements.
  • The transmitters use a defined signaling protocol to transmit communication signals to a target receiver.
  • The communication signals contain known specific transmit sequences spread across a frequency spectrum.
  • The known transmit sequences make the signals detectable only by receivers with the same sequences.
  • The transmitters receive feedback from the target receiver indicating reception errors based on the known transmit sequences.
  • A machine learning system uses the antenna element configuration and the feedback to predict preconfigured settings for the transmitters.

Potential Applications:

  • Wireless communication systems
  • Cellular networks
  • Internet of Things (IoT) devices
  • Satellite communication systems

Problems Solved:

  • Ensuring secure and reliable communication by making signals detectable only by receivers with specific transmit sequences.
  • Improving signal reception by using feedback to adjust transmitter settings.
  • Enhancing communication system performance by using machine learning to predict optimal transmitter configurations.

Benefits:

  • Increased security and privacy in communication systems.
  • Improved signal quality and reliability.
  • Enhanced efficiency and performance of communication systems.
  • Reduced interference and noise in wireless communication.


Original Abstract Submitted

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.

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