Neumann Series Expansion Based LMMSE Channel Estimation for OFDM Systems

被引：9

作者：

Fang, Licai ^{[1
]}

Huang, Defeng ^{[1
]}

机构：

[1] Univ Western Australia, Sch Elect Elect & Comp Engn, Perth, WA 6009, Australia

来源：

IEEE COMMUNICATIONS LETTERS | 2016年 / 20卷 / 04期

基金：

澳大利亚研究理事会;

关键词：

Channel estimation; OFDM; low complexity; LMMSE; Neumann series expansion; DFT;

D O I：

10.1109/LCOMM.2016.2526624

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In an orthogonal frequency division multiplexing (OFDM) system, the linear-minimum-mean-square-error (LMMSE)-based channel estimator often requires a matrix inversion with cubic complexity. In this letter, by employing a K terms Neumann series expansion to approximate the matrix inversion, the computational complexity is reduced to O(N log L) per channel realization, where N is the number of subcarriers and L is the number of non-zero time domain channel taps. Extensive simulation results show that even with small K (K <= 2), the performance loss caused by the proposed approximation is marginal.

引用

页码：748 / 751

页数：4

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