Multipath search based instantaneous root-mean-squared (RMS) delay spread (RDS) estimators mainly depend on path detection or multipath search. This paper proposes a novel method for multipath search through Minimum Descriptive Length (MDL) criterion, and hence a novel instantaneous RDS estimation method for wireless OFDM systems. compared with the conventional multipath search based instantaneous RDS estimators, the proposed estimator doesn't need any a priori information about the noise variance and the channel power delay profile (PDP) while the performance is improved. Simulation results demonstrate that the proposed estimator is also insensitive to the variance of SNR and robust against the frequency selectivity, as well as the vehicle speed.
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Xiaodong XU, Ya JING, Xiaohu YOU, Junhui ZHAO, "A Novel RMS Delay Spread Estimation for Wireless OFDM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 10, pp. 2558-2565, October 2006, doi: 10.1093/ietfec/e89-a.10.2558.
Abstract: Multipath search based instantaneous root-mean-squared (RMS) delay spread (RDS) estimators mainly depend on path detection or multipath search. This paper proposes a novel method for multipath search through Minimum Descriptive Length (MDL) criterion, and hence a novel instantaneous RDS estimation method for wireless OFDM systems. compared with the conventional multipath search based instantaneous RDS estimators, the proposed estimator doesn't need any a priori information about the noise variance and the channel power delay profile (PDP) while the performance is improved. Simulation results demonstrate that the proposed estimator is also insensitive to the variance of SNR and robust against the frequency selectivity, as well as the vehicle speed.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.10.2558/_p
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@ARTICLE{e89-a_10_2558,
author={Xiaodong XU, Ya JING, Xiaohu YOU, Junhui ZHAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Novel RMS Delay Spread Estimation for Wireless OFDM Systems},
year={2006},
volume={E89-A},
number={10},
pages={2558-2565},
abstract={Multipath search based instantaneous root-mean-squared (RMS) delay spread (RDS) estimators mainly depend on path detection or multipath search. This paper proposes a novel method for multipath search through Minimum Descriptive Length (MDL) criterion, and hence a novel instantaneous RDS estimation method for wireless OFDM systems. compared with the conventional multipath search based instantaneous RDS estimators, the proposed estimator doesn't need any a priori information about the noise variance and the channel power delay profile (PDP) while the performance is improved. Simulation results demonstrate that the proposed estimator is also insensitive to the variance of SNR and robust against the frequency selectivity, as well as the vehicle speed.},
keywords={},
doi={10.1093/ietfec/e89-a.10.2558},
ISSN={1745-1337},
month={October},}
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TY - JOUR
TI - A Novel RMS Delay Spread Estimation for Wireless OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2558
EP - 2565
AU - Xiaodong XU
AU - Ya JING
AU - Xiaohu YOU
AU - Junhui ZHAO
PY - 2006
DO - 10.1093/ietfec/e89-a.10.2558
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2006
AB - Multipath search based instantaneous root-mean-squared (RMS) delay spread (RDS) estimators mainly depend on path detection or multipath search. This paper proposes a novel method for multipath search through Minimum Descriptive Length (MDL) criterion, and hence a novel instantaneous RDS estimation method for wireless OFDM systems. compared with the conventional multipath search based instantaneous RDS estimators, the proposed estimator doesn't need any a priori information about the noise variance and the channel power delay profile (PDP) while the performance is improved. Simulation results demonstrate that the proposed estimator is also insensitive to the variance of SNR and robust against the frequency selectivity, as well as the vehicle speed.
ER -