【24h】

OPTIMIZATION OF DS-CDMA CODE SEQUENCES FOR WIRELESS SYSTEMS

机译:无线系统的DS-CDMA码序列优化

获取原文
获取原文并翻译 | 示例

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.
机译:在本章中,我们建议将遗传算法应用于Gold码,Kasami码和多次扩展以生成CDMA序列集。分析表明,基于GA的伪噪声(PN)码具有更好的信噪比(SNR)和更低的误码率(BER)。它还表明,与其他PN码相比,Multiple Spreading具有许多优点,但是,其序列集仍然不是最好的。通过使用遗传算法,可以获得一组具有更好的SNR和BER的序列。原因是多重传播可以为优化提供一些良好的基因。因此,我们可以得出结论,基于GA的多次扩频是为DS-CDMA系统生成PN码的良好解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号