This paper presents analysis results on finite-impulse response (FIR) channel estimation used for the equalization in Advanced Television Systems Committee digital television receivers. While channel estimation results have been effectively used for the equalization, the conditions of sufficient order and high signal-to-noise ratio (SNR) were assumed in most cases. To compensate for these unrealistic assumptions, we consider diverse probable conditions for channel estimation, such as reduced order and low SNRs, and then theoretically analyze each estimation case. The analysis shows that the adaptive FIR channel estimator provides an unbiased estimation and matches well its corresponding channel coefficients irrespective of the number of taps of the estimator and the non-causality of the unknown channel. Simulation results verify our analysis on the estimation of terrestrial DTV channels.
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Hyoung-Nam KIM, Sung Ik PARK, Seung Won KIM, "Analysis on Channel Estimation for the Equalization in ATSC DTV Receivers" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 6, pp. 1469-1475, June 2005, doi: 10.1093/ietfec/e88-a.6.1469.
Abstract: This paper presents analysis results on finite-impulse response (FIR) channel estimation used for the equalization in Advanced Television Systems Committee digital television receivers. While channel estimation results have been effectively used for the equalization, the conditions of sufficient order and high signal-to-noise ratio (SNR) were assumed in most cases. To compensate for these unrealistic assumptions, we consider diverse probable conditions for channel estimation, such as reduced order and low SNRs, and then theoretically analyze each estimation case. The analysis shows that the adaptive FIR channel estimator provides an unbiased estimation and matches well its corresponding channel coefficients irrespective of the number of taps of the estimator and the non-causality of the unknown channel. Simulation results verify our analysis on the estimation of terrestrial DTV channels.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.6.1469/_p
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@ARTICLE{e88-a_6_1469,
author={Hyoung-Nam KIM, Sung Ik PARK, Seung Won KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Analysis on Channel Estimation for the Equalization in ATSC DTV Receivers},
year={2005},
volume={E88-A},
number={6},
pages={1469-1475},
abstract={This paper presents analysis results on finite-impulse response (FIR) channel estimation used for the equalization in Advanced Television Systems Committee digital television receivers. While channel estimation results have been effectively used for the equalization, the conditions of sufficient order and high signal-to-noise ratio (SNR) were assumed in most cases. To compensate for these unrealistic assumptions, we consider diverse probable conditions for channel estimation, such as reduced order and low SNRs, and then theoretically analyze each estimation case. The analysis shows that the adaptive FIR channel estimator provides an unbiased estimation and matches well its corresponding channel coefficients irrespective of the number of taps of the estimator and the non-causality of the unknown channel. Simulation results verify our analysis on the estimation of terrestrial DTV channels.},
keywords={},
doi={10.1093/ietfec/e88-a.6.1469},
ISSN={},
month={June},}
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TY - JOUR
TI - Analysis on Channel Estimation for the Equalization in ATSC DTV Receivers
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1469
EP - 1475
AU - Hyoung-Nam KIM
AU - Sung Ik PARK
AU - Seung Won KIM
PY - 2005
DO - 10.1093/ietfec/e88-a.6.1469
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2005
AB - This paper presents analysis results on finite-impulse response (FIR) channel estimation used for the equalization in Advanced Television Systems Committee digital television receivers. While channel estimation results have been effectively used for the equalization, the conditions of sufficient order and high signal-to-noise ratio (SNR) were assumed in most cases. To compensate for these unrealistic assumptions, we consider diverse probable conditions for channel estimation, such as reduced order and low SNRs, and then theoretically analyze each estimation case. The analysis shows that the adaptive FIR channel estimator provides an unbiased estimation and matches well its corresponding channel coefficients irrespective of the number of taps of the estimator and the non-causality of the unknown channel. Simulation results verify our analysis on the estimation of terrestrial DTV channels.
ER -