Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection
Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection
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DOI：
10.1109/twc.2014.2334325
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发表时间：
2015-01-01
影响因子：
10.4
通讯作者：
Hanzo, Lajos
中科院分区：
文献类型：
--
作者：
Zhang, Peichang;Chen, Sheng;Hanzo, Lajos
我们提出了一个基于范数的联合发射和接收天线选择（NBJTRAS）辅助近容量多输入多输出（MIMO）系统依赖于一种新的两层信道估计方案的援助。具体地，首先使用低复杂度、低训练开销的基于最小均方误差的信道估计器来生成完整MIMO信道的粗略估计，该信道估计器依赖于重用适度数量的射频（RF）链。然后基于该初始全MIMO信道估计来执行NBJTRAS。NBJTRAS辅助的MIMO系统能够显著优于配备有相同适度数量的RF链的常规MIMO系统，同时省去了具有完全已知的信道状态信息（CSI）的理想化简化假设。此外，与所选择的子集MIMO信道矩阵相关联的初始子集信道估计然后用于激活强大的半盲联合信道估计和turbo检测器-解码器，其中信道估计通过嵌入在迭代检测和解码过程中的新颖的基于比特块选择的软判决辅助信道估计器（BBSB-SDACE）来细化。联合信道估计和涡轮检测解码方案的援助下，建议BBSB-SDACE信道估计器的操作是能够接近性能的近容量最大似然（ML）涡轮收发器与完美的CSI。这是在不增加ML turbo检测和解码过程的复杂度的情况下实现的。
We propose a norm-based joint transmit and receive antenna selection (NBJTRAS) aided near-capacity multiple-input-multiple-output (MIMO) system relying on the assistance of a novel two-tier channel estimation scheme. Specifically, a rough estimate of the full MIMO channel is first generated using a low-complexity, low-training-overhead minimum mean square error based channel estimator, which relies on reusing a modest number of radio frequency (RF) chains. NBJTRAS is then carried out based on this initial full MIMO channel estimate. The NBJTRAS aided MIMO system is capable of significantly outperforming conventional MIMO systems equipped with the same modest number of RF chains while dispensing with the idealized simplifying assumption of having perfectly known channel state information (CSI). Moreover, the initial subset channel estimate associated with the selected subset MIMO channel matrix is then used for activating a powerful semi-blind joint channel estimation and turbo detector-decoder, in which the channel estimate is refined by a novel block-of-bits selection based soft-decision aided channel estimator (BBSB-SDACE) embedded in the iterative detection and decoding process. The joint channel estimation and turbo detection-decoding scheme operating with the aid of the proposed BBSB-SDACE channel estimator is capable of approaching the performance of the near-capacity maximum-likelihood (ML) turbo transceiver associated with perfect CSI. This is achieved without increasing the complexity of the ML turbo detection and decoding process.