摘要
通信过程中由于多径效应容易造成码间串扰,为此讨论了一种基于离散余弦变换(DCT)的最小均方(LMS)自适应滤波算法。该算法不依赖于输入信号特性,以一种近似的方式完成对输入向量正交化,实现了高效计算。将该算法运用于码间串扰(ISI)严重的信道均衡仿真实验中,并与传统的LMS和归一化LMS(NLMS)算法进行比较,仿真结果表明该算法具有更快的收敛速度和更小的稳态误差。
Multi-path effects are likely to cause inter-symbol interference during the process of com- munication. A least mean square （LMS） adaptive filtering algorithm is described based on discrete co- sine transform （DCT）. DCT does not depend on the characteristics of input vector. The algorithm （DCT -LMS） is implemented efficiently by using an approximate method for input vector orthogonalization. When this algorithm is applied to serious inter-symbol interference （ISI） channel equalization, the simu- lations demonstrate that the presented algorithm has faster convergence rate and smaller steady state error than traditional LMS and NLMS algorithms.
出处
《现代防御技术》
北大核心
2012年第5期96-100,共5页
Modern Defence Technology
关键词
自适应滤波
离散余弦变换
最小均方算法
adaptive filtering
discrete cosine transform
least mean square （LMS） algorithm
作者简介
杨永建（1988-），男，甘肃甘谷人。硕士生，主要从事雷达信号与信息处理方面研究。
