New fast adaptive algorithm for fast fading channel estimation

Sheng Chen; Shu-Xiong Leung; Yue-Sheng Zhu

New fast adaptive algorithm for fast fading channel estimation

Sheng Chen
, Shu-Xiong Leung
, Yue-Sheng Zhu

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

Abstract

A new decoupling basis expansion model recursive least-square (D-BEM RLS) algorithm was proposed for fast fading channel estimation in wireless communications in this paper. By using the independent property between multi-path channels, the correlation redundancy of conventional BEM RLS can be removed. Simulation results have shown that the proposed algorithm reduces 80% of the computational complexity with the same estimation accuracy compared with conventional BEM RLS.

Original language	English
Pages (from-to)	96-99
Journal	通信学报/Journal on Communications
Volume	30
Issue number	10
Publication status	Published - Oct 2009

Research Keywords

Adaptive algorithm
Channel estimation
Fast fading
Recursive least square

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title = "New fast adaptive algorithm for fast fading channel estimation",

abstract = "A new decoupling basis expansion model recursive least-square (D-BEM RLS) algorithm was proposed for fast fading channel estimation in wireless communications in this paper. By using the independent property between multi-path channels, the correlation redundancy of conventional BEM RLS can be removed. Simulation results have shown that the proposed algorithm reduces 80\% of the computational complexity with the same estimation accuracy compared with conventional BEM RLS.",

keywords = "Adaptive algorithm, Channel estimation, Fast fading, Recursive least square",

author = "Sheng Chen and Shu-Xiong Leung and Yue-Sheng Zhu",

year = "2009",

month = oct,

language = "English",

volume = "30",

pages = "96--99",

journal = "通信学报/Journal on Communications",

issn = "1000-436X",

publisher = "Posts \&Telecom Press",

number = "10",

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TY - JOUR

T1 - New fast adaptive algorithm for fast fading channel estimation

AU - Chen, Sheng

AU - Leung, Shu-Xiong

AU - Zhu, Yue-Sheng

PY - 2009/10

Y1 - 2009/10

N2 - A new decoupling basis expansion model recursive least-square (D-BEM RLS) algorithm was proposed for fast fading channel estimation in wireless communications in this paper. By using the independent property between multi-path channels, the correlation redundancy of conventional BEM RLS can be removed. Simulation results have shown that the proposed algorithm reduces 80% of the computational complexity with the same estimation accuracy compared with conventional BEM RLS.

AB - A new decoupling basis expansion model recursive least-square (D-BEM RLS) algorithm was proposed for fast fading channel estimation in wireless communications in this paper. By using the independent property between multi-path channels, the correlation redundancy of conventional BEM RLS can be removed. Simulation results have shown that the proposed algorithm reduces 80% of the computational complexity with the same estimation accuracy compared with conventional BEM RLS.

KW - Adaptive algorithm

KW - Channel estimation

KW - Fast fading

KW - Recursive least square

UR - https://www.scopus.com/pages/publications/70749095711

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-70749095711&origin=recordpage

M3 - RGC 22 - Publication in policy or professional journal

SN - 1000-436X

VL - 30

SP - 96

EP - 99

JO - 通信学报/Journal on Communications

JF - 通信学报/Journal on Communications

IS - 10

ER -

New fast adaptive algorithm for fast fading channel estimation

Abstract

Research Keywords

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