A high-throughput VLSI architecture for linear turbo equalization

被引:0
|
作者
Lee, SJ [1 ]
Shanbhag, NR [1 ]
机构
[1] Univ Illinois, Dept Elect & Comp Engn, Coordinated Sci Lab, Urbana, IL 61801 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Turbo equalization dramatically improves bit error rate (BER) over separate equalization and decoding receivers. However, turbo equalization has low throughput due to iterative processing where a soft-input soft-output (SISO) equalizer or decoder cannot begin before the end of the previous SISO decoding iteration. In this paper, we propose a high-throughput VLSI architecture for linear turbo equalizers via re-scheduling the soft information updates on a factor graph. The proposed method enables SISO equalizers and decoders to run concurrently thereby reducing the processing time. Thus, the proposed architecture increases throughput by 40%-75% without any loss in BER.
引用
收藏
页码:2142 / 2146
页数:5
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