摘要
为解决盲均衡算法中的相位旋转问题,提出了一种基于特征向量算法(EVA)的改进型盲均衡算法,并与EVA算法进行了比较.新算法通过构造包含信道相位信息的度量解决了EVA算法的相位旋转问题.仿真结果表明,提出的算法与EVA算法相比在收敛速度方面提高约10%,抗噪声性能提高1dB,减小残留干扰约10%,而且并未增大运算量.
A new blind equalization algorithm based on eigenvector algorithm(EVA) was presented to solve the phase rotation problem by employing metric including phase information of the channel, and a comparison between new algorithm and EVA was also made. Simulation results show that the proposed algorithm will increase convergence rate by 10%, improve anti-noise capability by 1 dB, and compress residual intersymbol interference(ISI) by 10% without increasing computational complexity with respect to EVA as well.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2005年第4期10-13,共4页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(69931050)
关键词
盲均衡
特征向量算法
相位旋转
blind equalization
eigenvector algorithm
phase rotation