This paper presents an approach to the blind identification of multichannel communication systems by using partial knowledge of the channel. The received signal is first processed by a filter constructed by the known component of the channel and then a blind identification algorithm based on the second-order statistics is applied to the filtered signal. It is shown that, if the unknown component satisfies the identifiability condition, the channel can be identified even though the channel does not satisfy the identifiability condition. Simulation results are presented to show the performance of the proposed approach. A comparison to the existing approaches is also presented.
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Shuichi OHNO, Hideaki SAKAI, "Blind Identification of Multichannel Systems by Exploiting Prior Knowledge of the Channel" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 8, pp. 1552-1557, August 1999, doi: .
Abstract: This paper presents an approach to the blind identification of multichannel communication systems by using partial knowledge of the channel. The received signal is first processed by a filter constructed by the known component of the channel and then a blind identification algorithm based on the second-order statistics is applied to the filtered signal. It is shown that, if the unknown component satisfies the identifiability condition, the channel can be identified even though the channel does not satisfy the identifiability condition. Simulation results are presented to show the performance of the proposed approach. A comparison to the existing approaches is also presented.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_8_1552/_p
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@ARTICLE{e82-a_8_1552,
author={Shuichi OHNO, Hideaki SAKAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Identification of Multichannel Systems by Exploiting Prior Knowledge of the Channel},
year={1999},
volume={E82-A},
number={8},
pages={1552-1557},
abstract={This paper presents an approach to the blind identification of multichannel communication systems by using partial knowledge of the channel. The received signal is first processed by a filter constructed by the known component of the channel and then a blind identification algorithm based on the second-order statistics is applied to the filtered signal. It is shown that, if the unknown component satisfies the identifiability condition, the channel can be identified even though the channel does not satisfy the identifiability condition. Simulation results are presented to show the performance of the proposed approach. A comparison to the existing approaches is also presented.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Blind Identification of Multichannel Systems by Exploiting Prior Knowledge of the Channel
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1552
EP - 1557
AU - Shuichi OHNO
AU - Hideaki SAKAI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1999
AB - This paper presents an approach to the blind identification of multichannel communication systems by using partial knowledge of the channel. The received signal is first processed by a filter constructed by the known component of the channel and then a blind identification algorithm based on the second-order statistics is applied to the filtered signal. It is shown that, if the unknown component satisfies the identifiability condition, the channel can be identified even though the channel does not satisfy the identifiability condition. Simulation results are presented to show the performance of the proposed approach. A comparison to the existing approaches is also presented.
ER -