Adaptive channel estimation using the GOBA algorithm for turbo codes in Rayleigh flat-fading channels

被引：0

作者：

Wang, CL ^{[1
]}

Hsu, JM ^{[1
]}

Chang, TY ^{[1
]}

机构：

[1] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu 300, Taiwan

来源：

ISCAS 2000: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - PROCEEDINGS, VOL IV: EMERGING TECHNOLOGIES FOR THE 21ST CENTURY | 2000年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Performance of turbo codes in fading channels can be improved when the channel fading amplitudes are available at the turbo decoders. Conventionally, channel estimation and turbo-decoding are treated as two independent tasks. In this paper, we propose an iterative structure for fading amplitude estimation where turbo-decoder decisions are directed to an adaptive channel estimator using the general optimum block adaptive (GOBA) algorithm. The performance of a turbo-coding system with the proposed channel estimation structure is also investigated through computer simulations for correlated Rayleigh flat-fading channels. This decision-directed approach for channel re-estimation combined with the excellent tracking capability of the GOBA algorithm significantly improves the turbo-coding system performance. Computer simulation results show that its bit error rate performance is close to that of a system with perfect knowledge of fading amplitudes especially for fast-fading channels.

引用

页码：45 / 48

页数：4

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