• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Information and Computer Technologies >Robust Adaptive AutoRegressive Weighted Constant Modulus Algorithm for Blind Equalization in MIMO-OFDM System
【24h】

Robust Adaptive AutoRegressive Weighted Constant Modulus Algorithm for Blind Equalization in MIMO-OFDM System

机译：MIMO-OFDM系统中用于盲均衡的鲁棒自适应自回归加权常数模算法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Impulse noise is a major performance degrading factor, as it impairs the communication systems, such as mobile radio system, digital subscriber line system, and power line. Various Constant Modulus algorithms (CMA) were introduced to reduce the average of constant modulus error between the constant modulus and the equalizer output power in the impulsive noise environment. However, the existing blind learning methods generate large mis-adjustment and slow convergence rate in the impulse noise of Multiple Input Multiple Output (MIMO) system. To solve the impulse noise problem, the blind equalization method named Robust Adaptive Autoregressive weighted constant modulus algorithm (RAAWCMA) is introduced in this research work for MIMO system. Due to the feasibility and simplicity of stable convergence property, the proposed Robust Adaptive Autoregressive weighted constant modulus algorithm for blind equalization is utilized to solve the complexity of impulse noise in MIMO system. The proposed blind equalization method increases the performance of equalization by adjusting the weight vector based on the samples of output error. Moreover, the maximum average value obtained by the proposed algorithm is revealed based on the evaluation metrics, like Bit Error Rate, Symbol Error Rate, and Mean Square Error which acquire the values of 0.0005, 0.0005, and 0.0001 with the Rayleigh channel, and 0.0004, 0.0004, and 0.0001 with the Rician channel using six antennas.
机译：脉冲噪声是主要的性能下降因素，因为它会损害通信系统，例如移动无线电系统，数字用户线系统和电源线。为了减少脉冲噪声环境中恒定模量和均衡器输出功率之间的恒定模量误差的平均值，引入了各种恒定模量算法（CMA）。然而，现有的盲学习方法在多输入多输出（MIMO）系统的脉冲噪声中产生较大的失调和较慢的收敛速度。为了解决脉冲噪声问题，在MIMO系统的研究工作中引入了一种称为鲁棒自适应自回归加权恒模算法（RAAWCMA）的盲均衡方法。由于稳定收敛性的可行性和简便性，提出了一种用于盲均衡的鲁棒自适应自回归加权恒模算法，以解决MIMO系统中脉冲噪声的复杂性。所提出的盲均衡方法通过基于输出误差的样本来调整权重向量，从而提高了均衡的性能。此外，根据评估指标（如误码率，符号误码率和均方误差）揭示了通过该算法获得的最大平均值，这些评估指标通过瑞利信道获得了0.0005、0.0005和0.0001的值，以及0.0004 ，使用六个天线的Rician通道分别设置为0.0004和0.0001。

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