Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC

Mei Li, Xiang Wang, Kun Zhang
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引用次数: 13

Abstract

In this paper, we will analyze the Least Mean Square(LMS) and Recursive Least Square(RLS) algorithms. Then, we apply these two algorithms to a Multiple-input Multiple-output(MIMO-OFDM) system based on Space-Time Block Coding(STBC), and do some simulations on these two algorithms. From the simulation, it is found that the convergence speed of the RLS algorithm is faster than LMS algorithm, i.e., the performance of RLS is better than LMS algorithm.
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基于STBC的MIMO-OFDM系统自适应滤波信道估计技术比较研究
在本文中,我们将分析最小均方(LMS)和递归最小二乘(RLS)算法。然后,我们将这两种算法应用于基于空时分组编码(STBC)的多输入多输出(MIMO-OFDM)系统,并对这两种算法进行了仿真。仿真结果表明,RLS算法的收敛速度比LMS算法快,即RLS算法的性能优于LMS算法。
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