New Pilot-Symbol-Aided Estimation of Fading Channels in Mobile Communications

移动通信中新的导频符号辅助衰落信道估计

基本信息

批准号：
12650366
负责人：
SAKANIWA Kohichi
金额：
$ 0.83万
依托单位：
Tokyo Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2001
项目状态：
已结题

项目摘要

Fading and co-channel interference are known as the major disturbances in mobile communications. In this research, a new pilot-symbol-aided estimation technique for estimating and compensating fading in mobile communications is explored.Among various conventional estimation and compensation methods for fading and co-channel interference, polynomial interpolation method proposed by Sampei and Sunaga (IEICE, Trans on Communications, no.1, 1989) and maximum likelihood estimation by Cavers (IEEE, Trans. VT, Nov. 1991) are well known.In this research we have extended the Caver's estimation method to use not only the known pilot symbols but also the previously estimated fading values for data symbols to extract more information on the fading channels.We have also found that the method can be further improved by utilizing, instead of the estimated fading values on data symbols, the demodulator output normalized by the decided (decoded) data symbols to estimate the fading values in the current frame.The proposed estimation methods were evaluated using both analysis and simulation. It was clarified that a BPSK system employing the proposed estimation method show a strong BER performance in the region of high signal to noise ratio under fast fading compared to that of the conventional method. Moreover, the proposed system still sustains its performance under mismatched conditions, where the conventional system degrades exhibiting error floors.

褪色和共同通道干扰被称为移动通信中的主要干扰。 In this research, a new pilot-symbol-aided estimation technique for estimating and compensating fading in mobile communications is explored.Among various conventional estimation and compensation methods for fading and co-channel interference, polynomial interpolation method proposed by Sampei and Sunaga (IEICE, Trans on Communications, no.1, 1989) and maximum likelihood estimation by Cavers (IEEE, Trans. VT, Nov. 1991) are well known.In this research we have extended the Caver's estimation method to use not only the known pilot symbols but also the previously estimated fading values for data symbols to extract more information on the fading channels.We have also found that the method can be further improved by utilizing, instead of the estimated fading values on data symbols, the demodulator output normalized by the decided (decoded) data symbols to estimate the fading values in使用分析和仿真评估了当前的框架。据澄清，采用拟议估计方法的BPSK系统与常规方法相比，在快速褪色的高信号与噪声比的区域中表现出强烈的BER性能。此外，拟议的系统仍然在不匹配的条件下维持其性能，而传统系统降低了误差地板。