基于高阶统计量的迭代空时FIR预编码盲均衡器

Ning Yao, M. Kwan, C. Fung, C. Kok
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引用次数: 0

摘要

提出了一种基于高阶统计量(HOS)的迭代FIR线性盲均衡器,用于FIR MIMO信道上基于块的传输。采用预编码器-均衡器结构,盲均衡算法不需要在传输信号的每个块中插入大于或等于信道阶数的长保护周期,以避免块间干扰。在保护期间传输的信号可以认为是冗余的,它消耗信道带宽和传输功率。利用该算法,可以根据接收信号的HOS得到FIR均衡器,且FIR强制归零均衡所需的发送冗余最小。仿真结果表明,在高信噪比条件下,盲均衡器在保持良好误码率的同时提高了频谱效率。仿真结果还表明,该均衡器在低信噪比条件下具有良好的误码率,对高斯信道噪声具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Higher-Order Statistics Based Iterative Space-Time FIR Precoder-Blind Equalizer
A higher-order statistics (HOS) based iterative FIR linear blind equalizer for block based transmission over FIR MIMO channels is proposed. With the precoder-equalizer struc- ture, the proposed blind equalization algorithm do not required a long guard period that is longer than or equal to the channel order, to be inserted in each block of transmitted signal to avoid inter-block interference. The signal transmitted during the guard period can be considered as redundancy which consumes channel bandwidth and transmission power. With the proposed algorithm, an FIR equalizer can be obtained based on the HOS of the received signal with minimal transmit redundancy required for FIR zero-forcing equalization. The simulation results showed that the proposed blind equalizer improves spectral efficiency while retaining good BER performance at high SNR. Simulation results also showed that the proposed equalizer can obtain good BER at low SNR due to the use of the HOS, which is robust towards Gaussian channel noise.
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