| 基于训练序列的峭度盲源分离算法 |
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| 引用本文： | 杨柳绿,高勇. 基于训练序列的峭度盲源分离算法[J]. 太赫兹科学与电子信息学报, 2008, 6(5) |
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| 作者姓名： | 杨柳绿 高勇 |
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| 作者单位： | 四川大学,电子信息学院,四川,成都,610065 |
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| 摘 要： | 峭度盲源分离算法是一种自适应盲分离算法,可用于阵列天线和MIMO中的信号处理。本文提出利用通信中的训练序列来改善峭度盲分离的收敛速度,并以性能指数、相关系数作为比较标准进行了仿真,仿真结果证实了利用训练序列可以提高峭度盲分离算法的收敛速度。
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| 关 键 词： | 盲源分离 峭度算法 训练序列 性能指数 |
Kurtosis Algorithm of Blind Source Separation Based on Training Sequence |
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| YANG Liu-lv,GAO Yong. Kurtosis Algorithm of Blind Source Separation Based on Training Sequence[J]. Journal of Terahertz Science and Electronic Information Technology, 2008, 6(5) |
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| Authors: | YANG Liu-lv GAO Yong |
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| Abstract: | Kurtosis algorithm is a kind of adaptive blind source separation algorithm. It can be used in signal processing of array antenna and Multiple-Input Multiple-out put(MIMO). An approach of improvement for the performance of kurtosis algorithm is presented by using training sequence in communications. Simulation tests are carried out based on Performance Index(PI) and coefficient of correlation. The simulation results show that the approach can accelerate the convergence rate of kurtosis algorithm. |
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| Keywords: | blind source separation kurtosis algorithm training sequence performance index |
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