基于信道特性估计的自适应Turbo均衡算法

Shuxia Guo, Guodong Huang, Bing Liu
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引用次数: 0

摘要

针对无线信道中严重的码间干扰,提出了一种新的自适应Turbo均衡算法。结合迭代递推最小二乘(RLS)和最小均方(LMS)估计信道特性,跟踪信道变化;采用了Turbo均衡的软干扰抵消(SIC)算法以及均衡器和解码器之间的迭代计算。仿真结果表明,与传统的RLS相比,自适应Turbo均衡在10-4倍误码率下获得近1.5 dB增益,并降低了计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Notice of RetractionAdaptive Turbo Equalization Algorithm Based on the Estimation of Channel Characteristics
A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel's changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations between equalizer and decoder are employed. Simulation results show that adaptive Turbo equalization achieves nearly 1.5 dB gain at 10-4 of BER compared with the conventional RLS, and reduces the complexity of calculation.
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