The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 25, 2025

Filed:

Jul. 17, 2023
Applicant:

Qorvo Us, Inc., Greensboro, NC (US);

Inventors:

Kevin Wesley Kobayashi, Redondo Beach, CA (US);

Paul Edward Gorday, West Palm Beach, FL (US);

Charles Forrest Campbell, Dallas, TX (US);

Gangadhar Burra, Fremont, CA (US);

Assignee:

Qorvo US, Inc., Greensboro, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 1/10 (2006.01); H04B 1/06 (2006.01); H04B 1/12 (2006.01);
U.S. Cl.
CPC ...
H04B 1/123 (2013.01);
Abstract

A reinforcement learning receiver front-end (RL-RXFE) is disclosed having a low-noise amplifier (LNA) with adjustable supply voltage and adjustable bias voltages, a frequency selective limiter (FSL) coupled to the LNA and configured to attenuate undesired radio frequency (RF) bands and for sensing RF band power, and a combination of an analog-to-digital converter configured to convert an RF signal amplified by the LNA to a digital signal, a digital signal processor configured to generate spectrum information from the digital signal, and a baseband distortion by-product detector/sensor configured to generate distortion by-product information, and LNA dynamic information. A reinforcement learning processing circuitry receives and uses this information to perform reinforcement learning and to output control signals to the FSL and the LNA to maximize linearity and efficiency.


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