首页> 外文OA文献 >A Novel QAM Technique for High Order QAM Signaling
【2h】

A Novel QAM Technique for High Order QAM Signaling

机译:高阶QAM信令的新型QAM技术

摘要

The paper proposes a novel spread quadrature amplitude modulation (S-QAM) technique with high SNR improvement for high-order QAM channels. Simulated and experimental bit error rate (BER) performance analyses of the proposed technique in blind and non-blind equalizers are obtained by using single carrier (SC) WiMAX (IEEE 802.16-2004) radio. Instead of using any one particular type of channel profile, this study concentrates on true frequency selective Rayleigh fading channels in the real-time WiMAX radio environment around 3.5 GHz. The Constant Modulus Algorithm (CMA) blind equalizer has been compared with the popular non-blind equalizers, Recursive Least Squares (RLS) and Least Mean Squares (LMS) algorithm, as benchmarks. It has been proven in experimental and simulated channels that CMA blind equalizer, using the proposed technique, can be considered as a low complexity, spectrum efficient and high performance time domain equalizations to be embedded in a transceiver for the next generation communications. Furthermore the proposed technique has also reduced approximately till 5 dB and 7.5 dB performance differences between non-blind and blind equalizers for 16-QAM and 64-QAM, respectively. The simulation results have demonstrated that the simulated and experimental studies of the proposed technique are compatible with each other and extremely satisfying.
机译:本文针对高阶QAM信道提出了一种具有高SNR改善特性的新型扩展正交幅度调制(S-QAM)技术。通过使用单载波(SC)WiMAX(IEEE 802.16-2004)无线电,可以对盲和非盲均衡器中的拟议技术进行模拟和实验性误码率(BER)性能分析。这项研究没有使用任何一种特定类型的信道配置文件,而是着眼于3.5 GHz左右的实时WiMAX无线电环境中的真频率选择性瑞利衰落信道。恒定模量算法(CMA)盲均衡器已与流行的非盲均衡器,递归最小二乘(RLS)和最小均方(LMS)算法进行了比较。在实验和仿真通道中已经证明,使用所提出的技术,CMA盲均衡器可以被认为是一种低复杂度,频谱高效和高性能时域均衡器,可以嵌入到下一代通信的收发器中。此外,对于16-QAM和64-QAM,所提出的技术还分别降低了非盲和盲均衡器之间的性能差异,直至分别达到5 dB和7.5 dB。仿真结果表明,所提技术的仿真和实验研究相互兼容,非常令人满意。

著录项

  • 作者

    Ozen A.;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 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