Design of Pseudorandom Signal Generator Based on a Dual Memristor Chaotic System

Author:

Fang Na,Wang Jiabin,Jiang Yong,Liang Wanyong

Abstract

Abstract This paper constructs a pseudo-random signal generator based on a dual memristor chaotic system. Firstly, the chaotic characteristics of the dual memristor chaotic system were explored through theoretical analysis and MATLAB numerical simulation, and a MULTISIM simulation circuit for the dual memristor chaotic system was constructed. Then, based on the threshold decision quantization method, a pseudorandom signal generator quantization circuit is formed by connecting an inverter amplifier and a hysteresis comparator on the output side of the analog circuit. Finally, the randomness of the pseudorandom sequence is discussed by NIST test and correlation analysis. The analysis results show that the pseudorandom sequence generated by the pseudo-random signal generator based on the dual memristor chaotic system exhibits good randomness.

Publisher

IOP Publishing

Reference12 articles.

1. A high speed pseudo-random bit generator driven by 2D-discrete hyperchaos;Yang;Chaos, Solitons & Fractals,2023

2. Pseudo-random number generator based on logistic chaotic system;Wang;Entropy,2019

3. Multistability, chaos, and random signal generation in semiconductor superlattices;Ying;Physical Review E,2016

4. Maximum sampling rate of chaotic random signals generated by optoelectronic oscillator;Chen;Laser and Optoelectronics Progress,2021

5. Implementation and performance analysis of true random number generator on FPGA environment by using non-periodic chaotic signals obtained from chaotic maps;Garipcan;Arabian Journal for Science and Engineering,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3