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Spread spectrum communication using chaos

使用混沌的扩频通信

基本信息

批准号：
01850070
负责人：
SASASE Iwao
金额：
$ 1.79万
依托单位：
Keio University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1991
项目状态：
已结题

项目摘要

This research aims at applications of chaos to information communication systems and it started for spread spectrum systems. It also covers cryptosystem and tends to develop into bioinformation processing systems. Up to the present, we have obtained the following results.1. In order to investigate availability of random sequences from]-dimensional maps for spread signals, we tested correlation properties from Tent-Map and Cut-Map. Then it has clarified that the maps exhibit useful auto-correlation and useful cross-correlation in wide parameter region. Then the usefulness is held for mtlltiplexed cases. Moreover, 2-dimensional maps exhibit better correlation properties than 1-dimensional ones2. Relating to information hiding, we developed an efficient cryptosystem by using an]-dimensional map. In this system, key, plain-text and chippertext correspond to a parameter, image and preimage, respectively. We have also shown that the system performance is improved dramatically by using a 2dimensional map which has both expanding and contracting dynamics.3. We have analyzed 4-dimensional hysteretic circuits which relate to implementations of 2-dimensional maps. Then fundamental theories have been established for the trapping regions, observable chaos generation and bifurcations. We have also investigated chaos and-fractal responses from an artificial neural cell for future developments into biocomputations.

本研究以混沌在信息通信系统中的应用为目标，从扩频系统入手。它还涵盖了密码系统，并倾向于发展成为生物信息处理系统。到目前为止，我们已经取得了以下成果。为了研究来自扩频信号的维映射的随机序列的可用性，我们测试了来自Tent-Map和Cut-Map的相关性质。然后阐明了这些映射在宽参数范围内表现出有用的自相关和有用的互相关。然后，对多个复杂的案例保持有用性。此外，二维映射比一维映射表现出更好的相关性。关于信息隐藏，我们利用一维映射开发了一种高效的密码系统。在该系统中，密钥、纯文本和ChipperText分别对应于参数、图像和前像。我们还表明，通过使用同时具有扩展和收缩动态的二维映射，系统性能得到了显著提高。我们分析了与二维映射实现有关的四维滞回电路。然后建立了捕获区域、可观测混沌产生和分叉的基本理论。我们还研究了人工神经细胞的混沌和分形响应，为生物计算的未来发展做准备。