REINFORCEMENT LEARNING RECEIVER FRONT-END

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 R...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Kobayashi, Kevin Wesley, Gorday, Paul Edward, Burra, Gangadhar, Campbell, Charles Forrest
Format: Patent
Sprache:eng
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Zusammenfassung: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.