Downlink Channel Estimation in Cellular Systems with Antenna Arrays at Base Stations Using Channel Probing with Feedback
Downlink Channel Estimation in Cellular Systems with Antenna Arrays at Base Stations Using Channel Probing with Feedback
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DOI：
10.1155/s1110865704403023
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发表时间：
2004
影响因子：
1.9
通讯作者：
M. Biguesh;A. Gershman
中科院分区：
文献类型：
--
作者：
M. Biguesh;A. Gershman
在基站具有多传感器天线的移动通信系统中，下行链路信道估计起着关键作用，因为发射波束成形需要精确的信道估计。解决此问题的一种有效方法是带反馈的通道探测。在该方法中，基站阵列发送探测（训练）信号。然后根据用户提供的反馈报告来估计信道。本文研究了使用多传感器基站天线阵列和单传感器用户的反馈信道探测方法的性能。研究了最小二乘法 (LS)、线性最小均方误差 (LMMSE) 和新的缩放 LS (SLS) 信道估计方法。针对每种技术研究了探测信号的最佳选择，并分析了它们的信道估计性能。在多个LS信道估计的情况下，开发和研究了它们线性组合的最佳线性无偏估计（BLUE）方案。
In mobile communication systems with multisensor antennas at base stations, downlink channel estimation plays a key role because accurate channel estimates are needed for transmit beamforming. One efficient approach to this problem is channel probing with feedback. In this method, the base station array transmits probing (training) signals. The channel is then estimated from feedback reports provided by the users. This paper studies the performance of the channel probing method with feedback using a multisensor base station antenna array and single-sensor users. The least squares (LS), linear minimum mean square error (LMMSE), and a new scaled LS (SLS) approaches to the channel estimation are studied. Optimal choice of probing signals is investigated for each of these techniques and their channel estimation performances are analyzed. In the case of multiple LS channel estimates, the best linear unbiased estimation (BLUE) scheme for their linear combining is developed and studied.