多输入多输出信道盲均衡的两步点阵超指数算法

VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026) Pub Date : 2000-05-15 DOI:10.1109/VETECS.2000.851536

Chong-Yung Chi, Faa-Yeu Wang, Meng-Chian Chiang

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引用次数: 2

摘要

Feng和Chi(1998)报道了一种用于单输入单输出(SISO)信道盲均衡的两步点阵超指数算法(2S-LSEA)，该算法优于Shalvi和Weinstein(1993)基于FIR滤波器的超指数算法(SEA)，收敛速度更快，计算复杂度更低，对各种信道的性能更可靠，并且具有模块化和对点阵结构参数量化效应的低灵敏度。本文提出了一种多输入多输出(MIMO)信道的2S-LSEA，它也优于Yeung和Yau(1998)针对MIMO信道的SEA，具有与针对SISO信道的2S-LSEA相同的优势。一些仿真结果支持了所提出的2S-LSEA在MIMO信道中的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Two-step lattice super-exponential algorithm for blind equalization of multi-input multi-output channels

Feng and Chi (1998) reported a two-step lattice super-exponential algorithm (2S-LSEA) for blind equalization of single-input single-output (SISO) channels that is superior to Shalvi and Weinstein's (1993) FIR filter based super-exponential algorithm (SEA) in faster convergence speed, lower computational complexity, and more reliable performance to a variety of channels, besides modularity and low sensitivity to parameter quantization effects of lattice structure. In this paper, a 2S-LSEA for multi-input multi-output (MIMO) channels is proposed that is also superior to Yeung and Yau's (1998) SEA for MIMO channels in the same preceding advantages of the 2S-LSEA for SISO channels. Some simulation results are presented to support the efficacy of the proposed 2S-LSEA for MIMO channels.

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VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026)

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