基于核Fisher判别方法的数字通信技术研究

The Application of Kernel Fisher Discriminant in Digital Communication Technology

摘要: 将机器学习领域的研究成果应用到数字通信技术中，可以增强其抗干扰性。核Fisher判别方法是基于Fisher线性判别方法而提出的一种非线性分类方法，在这种方法中使用了基于核的算法中的“核技巧”。本文研究了核Fisher判别分析方法在数字通信技术中的应用，并用MATLAB进行了仿真，证明了核Fisher方法在数字通信技术中的有效性。

Abstract: The research result of machine learning was applied to the digital communication technology, which enhanced the anti-interference. Fisher method, based on Fisher linear discriminant, used the kernel skill which is based on the kernel arithemetic. Herein, the Kernel Fisher method is applied in digital communication technology, and it is emulated by MATLAB. Effectiveness of the presented recognition strategy is confirmed by some experiments.