@inbook{8e47eae6f2414eb989905b3bd0aaeb0f,
title = "Optimization of DS-CDMA Code sequences for Wireless Systems",
abstract = "In this chapter, we propose to apply Genetic Algorithm to Gold codes, Kasami codes and Multiple Spreading to generate sets of CDMA sequences. The analysis has shown us that the GA based pseudo noise (PN) codes have better Signal to noise ratio (SNR) and lower Bit error rate (BER). It also indicated that the Multiple Spreading has many advantages over the other PN code, however, its set of sequences still is not the best. By using Genetic Algorithm, a set of sequences with better SNR and BER can be achieved. The reason is that Multiple Spreading can provide some good genes for optimization. Therefore, we can conclude that the GA based Multiple Spreading is a good solution to generate PN codes for DS-CDMA system.",
author = "Sam KWONG and HO, {Alex C. H.}",
year = "2004",
doi = "10.1142/9789812561794_0030",
language = "English",
isbn = "9789812389527",
series = "Advances in Natural Computation",
publisher = "World Scientific",
pages = "562--580",
editor = "TAN, {Kay Chen} and LIM, {Meng Hiot} and Xin YAO and Lipo WANG",
booktitle = "Recent Advances in Simulated Evolution and Learning",
address = "Singapore",
}