Channel estimation applied to transform domain communication system

Jun Wang; Shao Qian Li; Shu Ping Gong; Chuan Han

Channel estimation applied to transform domain communication system

Jun Wang^*
, Shao Qian Li
, Shu Ping Gong
, Chuan Han

^*Corresponding author for this work

University of Electronic Science and Technology of China

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Aimed at the channel estimation of OFDM-based (orthogonal frequency division multiplex based) transform domain communication (TDCS) systems under low SNR scenarios, channel estimation techniques fou suppressing noise in time domain and/or transform domain are proposed. In time domain, the noise is mitigated through three schemes: time-sliding average, time-forgetting average, and their combination as the channel is slowly time-varying. To further reduce the influence of noise, the time-domain-based channel estimation methods are also combined with IDFT transform domain technique. Simulation results show the proposed channel estimation methods can achieve nearly the same performance as that of perfect channel estimation.

Original language	English
Pages (from-to)	40-42+96
Journal	Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China
Volume	38
Issue number	1
State	Published - Jan 2009
Externally published	Yes

Keywords

Channel estimation
Orthogonal frequency division multiplex
Slow fading channel
Transform domain communication system

Cite this

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title = "Channel estimation applied to transform domain communication system",

abstract = "Aimed at the channel estimation of OFDM-based (orthogonal frequency division multiplex based) transform domain communication (TDCS) systems under low SNR scenarios, channel estimation techniques fou suppressing noise in time domain and/or transform domain are proposed. In time domain, the noise is mitigated through three schemes: time-sliding average, time-forgetting average, and their combination as the channel is slowly time-varying. To further reduce the influence of noise, the time-domain-based channel estimation methods are also combined with IDFT transform domain technique. Simulation results show the proposed channel estimation methods can achieve nearly the same performance as that of perfect channel estimation.",

keywords = "Channel estimation, Orthogonal frequency division multiplex, Slow fading channel, Transform domain communication system",

author = "Jun Wang and Li, \{Shao Qian\} and Gong, \{Shu Ping\} and Chuan Han",

year = "2009",

month = jan,

language = "英语",

volume = "38",

pages = "40--42+96",

journal = "Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China",

issn = "1001-0548",

publisher = "University of Electronic Science and Technology of China",

number = "1",

}

TY - JOUR

T1 - Channel estimation applied to transform domain communication system

AU - Wang, Jun

AU - Li, Shao Qian

AU - Gong, Shu Ping

AU - Han, Chuan

PY - 2009/1

Y1 - 2009/1

N2 - Aimed at the channel estimation of OFDM-based (orthogonal frequency division multiplex based) transform domain communication (TDCS) systems under low SNR scenarios, channel estimation techniques fou suppressing noise in time domain and/or transform domain are proposed. In time domain, the noise is mitigated through three schemes: time-sliding average, time-forgetting average, and their combination as the channel is slowly time-varying. To further reduce the influence of noise, the time-domain-based channel estimation methods are also combined with IDFT transform domain technique. Simulation results show the proposed channel estimation methods can achieve nearly the same performance as that of perfect channel estimation.

AB - Aimed at the channel estimation of OFDM-based (orthogonal frequency division multiplex based) transform domain communication (TDCS) systems under low SNR scenarios, channel estimation techniques fou suppressing noise in time domain and/or transform domain are proposed. In time domain, the noise is mitigated through three schemes: time-sliding average, time-forgetting average, and their combination as the channel is slowly time-varying. To further reduce the influence of noise, the time-domain-based channel estimation methods are also combined with IDFT transform domain technique. Simulation results show the proposed channel estimation methods can achieve nearly the same performance as that of perfect channel estimation.

KW - Channel estimation

KW - Orthogonal frequency division multiplex

KW - Slow fading channel

KW - Transform domain communication system

UR - https://www.scopus.com/pages/publications/65249093680

M3 - 文章

AN - SCOPUS:65249093680

SN - 1001-0548

VL - 38

SP - 40-42+96

JO - Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China

JF - Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China

IS - 1

ER -

Channel estimation applied to transform domain communication system

Abstract

Keywords

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