Optimal Chaotic Sequences for DS-CDMA Using Genetic Algorithm

被引：0

作者：

Rastogi, Utkarsh ^{[1
]}

Anuradha, S. ^{[1
]}

Shekar, Rathod Chandra ^{[1
]}

Singh, Shubham ^{[1
]}

Rao, P. Sri Hari ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect & Commun Engn, Warangal 506004, Telangana, India

来源：

2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET) | 2017年

关键词：

Chaotic Sequence; Genetic Algorithm; Optimization; Average Interference; BER; PERFORMANCE; SYSTEM; COMMUNICATION; SIGNALS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Direct Sequence Spread Spectrum is a modulation scheme which is characterized by Pseudo Noise (PN) code. PN Sequences have the property of being like random noise with very low correlation to any other sequence in the set. Chaotic Sequence are easy to generate, difficult to intercept and have the added advantage of being in large number compared to other traditional sequences like Gold, Kasami, Bernoulli etc. This paper presents generation of optimum chaotic spreading codes using Genetic Algorithm and compares the performance with other spreading codes in terms of Bit Error Rate (BER), cross correlation and average interference.

引用

页码：900 / 904

页数：5

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