Blind Channel Estimation for Single-Carrier Space-Time Block Coded Transmission with Frequency-Domain Equalization: A Diagonal Precoding Based Approach

Jwo-Yuh Wu, Ta-Sung Lee
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Abstract

Relying on non-redundant diagonal preceding and i.i.d. source assumption, we propose a blind channel estimation scheme for single-carrier frequency-domain equalization based space-time block coded systems. The proposed method exploits the precoding-induced linear signal structure in the conjugate cross-correlation between the two temporal block receive signals as well as the circulant channel matrix property, and can yield exact solutions whenever the channel noise is circularly Gaussian and the receive data statistic is perfectly obtained. The channel estimation formulation builds on rearranging the set of linear equations relating the entries of conjugate cross-correlation matrix and products of channel impulse responses into one with a distinctive block-circulant with circulant-block (BCCB) structure. This allows a simple identifiability condition depending on precoder parameters alone, and also provides a natural yet effective optimal precoder design framework against imperfect data estimation. We consider the data mismatch as a deterministic perturbation and propose to minimize the condition number of the BCCB system matrix, leading to a simple closed-form optimal solution. Numerical examples are used to illustrate the performance of the proposed method
基于对角预编码的单载波空时分组编码频域均衡盲信道估计
基于非冗余对角前置和i - id信源假设,提出了一种基于单载波频域均衡的空时分组编码系统信道盲估计方案。该方法利用预编码诱导的线性信号结构在两个时序块接收信号之间的共轭互相关以及循环信道矩阵的特性,可以在信道噪声为圆高斯且接收数据统计量得到完美的情况下得到精确解。信道估计公式建立在将一组与共轭互相关矩阵项和信道脉冲响应乘积相关的线性方程组重新排列成具有独特的块-循环块(BCCB)结构的线性方程组的基础上。这允许仅依赖预编码器参数的简单可识别性条件,并且还提供了针对不完美数据估计的自然而有效的最佳预编码器设计框架。我们将数据不匹配视为确定性扰动,并提出最小化BCCB系统矩阵的条件数,从而得到一个简单的闭型最优解。数值算例说明了该方法的有效性
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