The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
IEEE802.11b WLAN 표준은 직접 시퀀스/확산 스펙트럼(DS/SS) 변조를 사용합니다. 분수 샘플링 RAKE 수신기를 사용하면 DS/SS 통신에서 다양성을 달성하고 BER을 줄일 수 있습니다. 분수 샘플링을 통해 다양성을 구현하기 위해서는 채널의 임펄스 응답을 추정해야 한다. 본 논문에서는 IEEE802.11b WLAN 시스템에서 분수 샘플링을 이용한 RAKE 수신기의 채널 추정 기법을 컴퓨터 시뮬레이션과 실험을 통해 조사한다. 채널의 임펄스 응답을 추정하기 위해 임계값을 갖는 의사 역행렬이 사용됩니다. 수치 결과는 시뮬레이션과 실험 모두에서 최적의 임계값으로 채널을 추정할 수 있음을 나타냅니다.
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Yu IMAOKA, Hiroshi OBATA, Yohei SUZUKI, Yukitoshi SANADA, "Channel Estimation Scheme for a RAKE Receiver with Fractional Sampling in IEEE802.11b WLAN System" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 3, pp. 946-953, March 2009, doi: 10.1587/transcom.E92.B.946.
Abstract: The IEEE802.11b WLAN standard employs direct-sequence/spread-spectrum (DS/SS) modulation. With a fractional sampling RAKE receiver, it is possible to achieve diversity and reduce the BER in DS/SS communication. In order to realize the diversity through fractional sampling, the impulse response of the channel must be estimated. In this paper, a channel estimation scheme for a RAKE receiver with fractional sampling in IEEE802.11b WLAN system is investigated through a computer simulation and an experiment. In order to estimate the impulse response of the channel, a pseudo-inverse matrix with a threshold is employed. Numerical results indicate that the channel can be estimated with an optimum threshold in both the simulation and the experiment.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.946/_p
부
@ARTICLE{e92-b_3_946,
author={Yu IMAOKA, Hiroshi OBATA, Yohei SUZUKI, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation Scheme for a RAKE Receiver with Fractional Sampling in IEEE802.11b WLAN System},
year={2009},
volume={E92-B},
number={3},
pages={946-953},
abstract={The IEEE802.11b WLAN standard employs direct-sequence/spread-spectrum (DS/SS) modulation. With a fractional sampling RAKE receiver, it is possible to achieve diversity and reduce the BER in DS/SS communication. In order to realize the diversity through fractional sampling, the impulse response of the channel must be estimated. In this paper, a channel estimation scheme for a RAKE receiver with fractional sampling in IEEE802.11b WLAN system is investigated through a computer simulation and an experiment. In order to estimate the impulse response of the channel, a pseudo-inverse matrix with a threshold is employed. Numerical results indicate that the channel can be estimated with an optimum threshold in both the simulation and the experiment.},
keywords={},
doi={10.1587/transcom.E92.B.946},
ISSN={1745-1345},
month={March},}
부
TY - JOUR
TI - Channel Estimation Scheme for a RAKE Receiver with Fractional Sampling in IEEE802.11b WLAN System
T2 - IEICE TRANSACTIONS on Communications
SP - 946
EP - 953
AU - Yu IMAOKA
AU - Hiroshi OBATA
AU - Yohei SUZUKI
AU - Yukitoshi SANADA
PY - 2009
DO - 10.1587/transcom.E92.B.946
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2009
AB - The IEEE802.11b WLAN standard employs direct-sequence/spread-spectrum (DS/SS) modulation. With a fractional sampling RAKE receiver, it is possible to achieve diversity and reduce the BER in DS/SS communication. In order to realize the diversity through fractional sampling, the impulse response of the channel must be estimated. In this paper, a channel estimation scheme for a RAKE receiver with fractional sampling in IEEE802.11b WLAN system is investigated through a computer simulation and an experiment. In order to estimate the impulse response of the channel, a pseudo-inverse matrix with a threshold is employed. Numerical results indicate that the channel can be estimated with an optimum threshold in both the simulation and the experiment.
ER -