| 频率选择性衰落信道中的信号盲估计方法 |
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| 引用本文： | 殷勤业,蒋伯峰.频率选择性衰落信道中的信号盲估计方法[J].西安交通大学学报,2000,34(8):27-30,35. |
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| 作者姓名： | 殷勤业 蒋伯峰 |
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| 作者单位： | 西安交通大学,710049,西安 |
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| 基金项目： | 国家自然科学基金资助项目(69872029)；国家“八六三”计划资助项目(863-317-03-01-15-99)． |
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| 摘 要： | 利用最小均方（ＬＭＳ）迭代算法对基于子空间的信号盲估计方法进行了改进、改进后的算法运算量小，便于多用户信号实时分离，为智能天线系统中的上行信号的分离提供了一种有效的解决方案。计算机仿真实验表明，在算法的复杂程度显著降低的情况下，利用改进后的方法可以取得与原方法同样的效果。
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| 关 键 词： | 信号盲估计 移动通信 频率选择性衰落信道 LMS |
| 文章编号： | 0253-987X(2000)08-0027-04 |
Blind Symbol Estimation Method in Frequency Selective Fading Channel |
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| Yin Qinye,Jiang Bofeng.Blind Symbol Estimation Method in Frequency Selective Fading Channel[J].Journal of Xi'an Jiaotong University,2000,34(8):27-30,35. |
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| Authors: | Yin Qinye Jiang Bofeng |
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| Institution: | Yin Qinye
,Jiang Bofeng
;(Xi'an Jiaotong University, Xi'an 710049, China) |
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| Abstract: | The least mean square (LMS) iterative algorithm is used to improve the blind symbol estimation method that is based on subspace. This results in drastic reduction of computational work compared with the conventional one. So the improved method is suitable for realizing uplink signals separation in smart antenna systems. The computer simulation has shown that the improved method has the same effect as the conventional one. |
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| Keywords: | blind symbol estimation least mean square iterative algorithm smart antenna system |
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