0.6-1.2 V, 0.22 pJ/bit True Random Number Generator Based on SAR ADC

Akshay Jayaraj; Nimish Nitin Gujarathi; Illakiya Venkatesh; Arindam Sanyal

doi:10.1109/TCSII.2019.2949775

0.6-1.2 V, 0.22 pJ/bit True Random Number Generator Based on SAR ADC

Akshay Jayaraj, Nimish Nitin Gujarathi, Illakiya Venkatesh, Arindam Sanyal

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This brief proposes a true-random number generator (TRNG) based on a successive approximation register (SAR) analog-To-digital converter (ADC). After the SAR ADC has finished conversion, the comparator is fired again to quantize the residue. The 1-bit quantized residue acts as a true random sequence and no additional circuits are required for the TRNG. A prototype fabricated in 65nm process acts as a TRNG over 0.6V-1.2V power supply and-5°C to 50°C temperature range without any calibration or post-processing. The TRNG outputs a random sequence at 1.25Mbps and consumes state-of-The-Art energy of 0.22pJ/bit.

Original language	English (US)
Article number	8884108
Pages (from-to)	1765-1769
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	67
Issue number	10
DOIs	https://doi.org/10.1109/TCSII.2019.2949775
State	Published - Oct 2020
Externally published	Yes

Keywords

True-random number generator
analog-To-digital converter
entropy
successive approximation register

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TCSII.2019.2949775

Cite this

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title = "0.6-1.2 V, 0.22 pJ/bit True Random Number Generator Based on SAR ADC",

abstract = "This brief proposes a true-random number generator (TRNG) based on a successive approximation register (SAR) analog-To-digital converter (ADC). After the SAR ADC has finished conversion, the comparator is fired again to quantize the residue. The 1-bit quantized residue acts as a true random sequence and no additional circuits are required for the TRNG. A prototype fabricated in 65nm process acts as a TRNG over 0.6V-1.2V power supply and-5°C to 50°C temperature range without any calibration or post-processing. The TRNG outputs a random sequence at 1.25Mbps and consumes state-of-The-Art energy of 0.22pJ/bit. ",

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AU - Venkatesh, Illakiya

AU - Sanyal, Arindam

PY - 2020/10

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AB - This brief proposes a true-random number generator (TRNG) based on a successive approximation register (SAR) analog-To-digital converter (ADC). After the SAR ADC has finished conversion, the comparator is fired again to quantize the residue. The 1-bit quantized residue acts as a true random sequence and no additional circuits are required for the TRNG. A prototype fabricated in 65nm process acts as a TRNG over 0.6V-1.2V power supply and-5°C to 50°C temperature range without any calibration or post-processing. The TRNG outputs a random sequence at 1.25Mbps and consumes state-of-The-Art energy of 0.22pJ/bit.

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KW - analog-To-digital converter

KW - entropy

KW - successive approximation register

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0.6-1.2 V, 0.22 pJ/bit True Random Number Generator Based on SAR ADC

Abstract

Keywords

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