Self-calibration system and method based on neural network

A neural network and self-calibration technology, applied in the field of neural network-based self-calibration systems, can solve the problems of high test cost, low calibration efficiency, and long time consumption.

Active Publication Date: 2021-09-14
XIAMEN UNIV
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Problems solved by technology

The entire calibration process takes a certain amount of time from the algorithm operation to the change of the hardware tuning knob and the change of the

Method used

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  • Self-calibration system and method based on neural network
  • Self-calibration system and method based on neural network
  • Self-calibration system and method based on neural network

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[0049] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0050] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

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Abstract

The invention discloses a self-calibration system and method based on a neural network. A self-check unit, an adjustable element array and a calculation unit are arranged, the self-check unit measures a low-frequency measurement value M associated with a to-be-calibrated circuit, and the adjustable element array inputs a control word of the calculation unit into the to-be-calibrated circuit; the calculation unit performs calibration based on the self-check unit and the adjustable element array. The electrical performance parameters of the to-be-calibrated circuit can be predicted by training the neural network, the control words of the corresponding calculation units under the expected electrical performance parameters are calculated, and the adjustable element values accessed to the adjustable element array are controlled through the control words. The to-be-calibrated circuit is calibrated to an expected electrical performance parameter range, so that the test cost and complexity of analog, radio frequency and other circuits are effectively reduced, and the calibration efficiency is improved.

Description

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Claims

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Application Information

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Owner XIAMEN UNIV
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