首页> 外文会议>IEEE International Conference on Acoustics, Speech, and Signal Processing >CONSTRAINED LS ALGORITHM FOR CHANNEL VECTOR ESTIMATION IN 2-D RAKE RECEIVER
【24h】

CONSTRAINED LS ALGORITHM FOR CHANNEL VECTOR ESTIMATION IN 2-D RAKE RECEIVER

机译:2-D RAKE接收机信道矢量估计的约束LS算法

获取原文

摘要

In conventional 2-D RAKE receiver, channel vector is usually estimated based on LS criterion only using pilot. When the power of the pilot is low or the variation of the channel is fast, the error of the channel estimation becomes large. We propose an improved algorithm in this paper. The steering vector of the desired signal is estimated firstly using subspace decomposition method and a constrained condition is then configured employing this estimated steering vector. Channel vector is estimated based on constrained LS criterion applying traffic signals. The pilot is only used to get the initial value of the estimation. The estimation accuracy of channel vector can progressively increase through iteration. Simulation results demonstrate that the improved algorithm upgrades the estimation accuracy effectively.
机译:在传统的2-D Rake接收机中,通常仅使用导频的LS标准估计信道向量。当导频的功率低或频道的变化快速时,信道估计的误差变大。我们提出了一种改进的算法在本文中。首先使用子空间分解方法估计所需信号的转向载体,然后配置采用该估计的转向载体的约束条件。基于应用流量信号的受限LS标准估计信道矢量。导频仅用于获得估计的初始值。信道矢量的估计精度可以通过迭代逐步增加。仿真结果表明,改进的算法有效地升级了估计精度。

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