Optimal chaotic sequences for DS-CDMA using genetic algorithm

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 ad...

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Bibliographic Details
Published in2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) pp. 900 - 904
Main Authors Rastogi, Utkarsh, Anuradha, S., Shekar, Rathod Chandra, Singh, Shubham, Rao, P. Sri Hari
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2017
Subjects
Average Interference
BER
Bit error rate
Chaotic communication
Chaotic Sequence
Correlation
Genetic Algorithm
Genetic algorithms
Gold
Interference
Logistics
Optimization
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Summary: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.
DOI:10.1109/WiSPNET.2017.8299892