True random number generator based on on-chip digital feedback self-calibration system

Abstract

The invention discloses a true random number generator based on an on-chip digital feedback self-calibration system, which comprises a noise digitization circuit, a bias judgment circuit, a self-calibration logic circuit and a post-processing circuit; the noise digitization circuit is used for outputting the difference of jitter and noise generated by the two inverter chains under the action of an input clock signal as an initial random number, and the post-processing circuit is used for carrying out algorithm processing on the initial random number to obtain an enhanced random number signal and outputting the enhanced random number signal; the bias judgment circuit is used for detecting the original random number and judging the bias direction so as to output a first bias signal and a second bias signal; the self-calibration logic circuit is used for calibrating signal delay generated by the two inverter chains due to process errors according to the generated first bias signal and the generated second bias signal to obtain a first control signal and a second control signal. According to the true random number generator, high randomness can still be ensured under the conditions of large-range fluctuation of input voltage and large-range change of temperature, and the reliability is greatly improved.

Description

technical field [0001] The invention relates to the technical field of integrated circuits, in particular to a true random number generator based on an on-chip digital feedback self-calibration system. Background technique [0002] With the further expansion of applications in emerging fields such as artificial intelligence, 5G, intelligent voice recognition, and autonomous driving, the Internet of Things industry will usher in faster development, and penetrate into different fields such as smart office, smart medical care, wearable devices, and mobile payment. Provide convenience and quality assurance for our life. However, while the Internet of Things facilitates people's lives, it also has the risk of being hacked, leading to a series of privacy issues and security risks, such as physical tracking, personal characteristic profiling, and unauthorized access. Some applications in medicine, such as blood pressure monitors, diabetes monitors, and cardiac pacemakers, can even...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a true random number generator based on an on-chip digital feedback self-calibration system, which aims to solve the problem of poor reliability in the use of the true random number generator in the prior art method

Images