首页> 外文OA文献 >Multiuser Decorrelating Based Long-Range Frequency-Domain Channel Transfer Function Prediction in Multicarrier DS-CDMA Systems
【2h】

Multiuser Decorrelating Based Long-Range Frequency-Domain Channel Transfer Function Prediction in Multicarrier DS-CDMA Systems

机译:基于多用户解相关的多载波Ds-CDma系统中的远程频域信道传递函数预测

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In this contribution, multiuser decorrelating based frequency-domain channel estimation and long range channel prediction techniques are proposed for a generalized Multicarrier DS-CDMA (MC DS-CDMA) system communicating over a fast fading and frequency selective channel. In the MC DS-CDMA system considered, the channel transfer function (CTF) is estimated in the frequency-domain with the aid of pilot symbols by invoking the multiuser decorrelating based channel estimation technique, in order to reduce the effects of both the Multiuser Interference (MUI) and the background noise. Then, Kalman filter assisted long-range channel prediction is carried out with the aid of both the current and previous frequency-domain CTFs for the sake of predicting the future CTFs. Furthermore, a sinc-interpolator is employed for the sake of deriving the frequency-domain CTFs associated with the data symbols. Our simulation results show that for a reasonable signal-to-noise ratio (SNR) value the proposed frequency-domain multiuser decorrelating based channel estimator is robust to the effects of both the MUI as well as the noise.
机译:在此贡献中,针对在快速衰落和频率选择性信道上通信的通用多载波DS-CDMA(MC DS-CDMA)系统,提出了基于多用户解相关的频域信道估计和远程信道预测技术。在所考虑的MC DS-CDMA系统中,通过调用基于多用户解相关的信道估计技术,借助导频符号在频域中估计信道传递函数(CTF),以减少多用户干扰的影响(MUI)和背景噪音。然后,借助当前和先前的频域CTF进行卡尔曼滤波器辅助的远程信道预测,以预测未来的CTF。此外,为了导出与数据符号相关联的频域CTF,采用了sinc内插器。我们的仿真结果表明,对于合理的信噪比(SNR)值,所提出的基于频域多用户解相关的信道估计器对MUI和噪声的影响均具有鲁棒性。

著录项

  • 作者

    Hu B.; Liu W.; Yang L.-L.; Hanzo L.;

  • 作者单位
  • 年度 2006
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

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