Semi-blind channel estimation and decoding for space-time block coded system

被引：0
|
作者：
Jing, Xiaorong [1 ]
Xu, Zheng [2 ]
Dai, Shijin [1 ]
Zhou, Zhengzhong [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Commun, Chengdu 610054, Sichuan, Peoples R China
[2] E China Jiatong Univ, Sch Elect & Elect, Jian 330008, Jiangxi, Peoples R China
来源：
2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS | 2006年
关键词：
D O I：
10.1109/ITST.2006.288935
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper addresses the problem of semi-blind channel estimation and decoding for space-time coded system over time-varying fading channel. We derive. a state-space model that characterizes the space-time coded system. The channel estimation are performed using a kalman filtering method which operates in two modes: training mode and blind mode. Box-constrained ML algorithm is used to perform the decoding function under the previous state-space system model. The performance of channel estimation and decoding schemes are investigated by computer simulations.
引用
收藏
页码：434 / +
页数：2
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