Optimization of DS-CDMA code sequences for wireless systems

被引：0
|
作者：
Kwong, S [1 ]
Ho, ACH [1 ]
机构：
[1] City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
来源：
Recent Advances in Simulated Evolution and Learning | 2004年 / 2卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：562 / 580
页数：19
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