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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article propose une nouvelle technique d'annulation des interférences qui empêche les récepteurs radio de se dégrader en raison des signaux d'interférence périodiques provoqués par les ondes électromagnétiques émises par des circuits de haute puissance. La technique proposée annule les signaux d'interférence périodiques dans le domaine fréquentiel, même si les signaux d'interférence périodiques dérivent dans le domaine temporel. Nous proposons une estimation de dérive basée sur une technique de super résolution telle qu'ESPRIT. De plus, nous proposons une estimation de dérive séquentielle pour améliorer les performances d’estimation de dérive. La technique proposée utilise un filtre linéaire basé sur le critère d'erreur quadratique moyenne minimale avec l'aide des dérives estimées pour l'annulation des interférences. Les performances de la technique proposée sont confirmées par simulation informatique. La technique proposée permet d'obtenir un gain de plus de 40 dB dans la partie haute fréquence de la bande. L’annuleur proposé atteint de telles performances supérieures si les ensembles de paramètres sont soigneusement sélectionnés. L'estimation de dérive séquentielle proposée assouplit les contraintes paramétriques et permet à l'annulation proposée d'atteindre la limite supérieure de performance.
Satoshi DENNO
Okayama University
Yafei HOU
Okayama University
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Satoshi DENNO, Yafei HOU, "Asynchronous Periodic Interference Signals Cancellation in Frequency Domain" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 9, pp. 1087-1096, September 2022, doi: 10.1587/transcom.2021EBP3187.
Abstract: This paper proposes a novel interference cancellation technique that prevents radio receivers from degrading due to periodic interference signals caused by electromagnetic waves emitted from high power circuits. The proposed technique cancels periodic interference signals in the frequency domain, even if the periodic interference signals drift in the time domain. We propose a drift estimation based on a super resolution technique such as ESPRIT. Moreover, we propose a sequential drift estimation to enhance the drift estimation performance. The proposed technique employs a linear filter based on the minimum mean square error criterion with assistance of the estimated drifts for the interference cancellation. The performance of the proposed technique is confirmed by computer simulation. The proposed technique achieves a gain of more than 40dB at the higher frequency part in the band. The proposed canceler achieves such superior performance, if the parameter sets are carefully selected. The proposed sequential drift estimation relaxes the parameter constraints, and enables the proposed cancellation to achieve the performance upper bound.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3187/_p
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@ARTICLE{e105-b_9_1087,
author={Satoshi DENNO, Yafei HOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Asynchronous Periodic Interference Signals Cancellation in Frequency Domain},
year={2022},
volume={E105-B},
number={9},
pages={1087-1096},
abstract={This paper proposes a novel interference cancellation technique that prevents radio receivers from degrading due to periodic interference signals caused by electromagnetic waves emitted from high power circuits. The proposed technique cancels periodic interference signals in the frequency domain, even if the periodic interference signals drift in the time domain. We propose a drift estimation based on a super resolution technique such as ESPRIT. Moreover, we propose a sequential drift estimation to enhance the drift estimation performance. The proposed technique employs a linear filter based on the minimum mean square error criterion with assistance of the estimated drifts for the interference cancellation. The performance of the proposed technique is confirmed by computer simulation. The proposed technique achieves a gain of more than 40dB at the higher frequency part in the band. The proposed canceler achieves such superior performance, if the parameter sets are carefully selected. The proposed sequential drift estimation relaxes the parameter constraints, and enables the proposed cancellation to achieve the performance upper bound.},
keywords={},
doi={10.1587/transcom.2021EBP3187},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Asynchronous Periodic Interference Signals Cancellation in Frequency Domain
T2 - IEICE TRANSACTIONS on Communications
SP - 1087
EP - 1096
AU - Satoshi DENNO
AU - Yafei HOU
PY - 2022
DO - 10.1587/transcom.2021EBP3187
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2022
AB - This paper proposes a novel interference cancellation technique that prevents radio receivers from degrading due to periodic interference signals caused by electromagnetic waves emitted from high power circuits. The proposed technique cancels periodic interference signals in the frequency domain, even if the periodic interference signals drift in the time domain. We propose a drift estimation based on a super resolution technique such as ESPRIT. Moreover, we propose a sequential drift estimation to enhance the drift estimation performance. The proposed technique employs a linear filter based on the minimum mean square error criterion with assistance of the estimated drifts for the interference cancellation. The performance of the proposed technique is confirmed by computer simulation. The proposed technique achieves a gain of more than 40dB at the higher frequency part in the band. The proposed canceler achieves such superior performance, if the parameter sets are carefully selected. The proposed sequential drift estimation relaxes the parameter constraints, and enables the proposed cancellation to achieve the performance upper bound.
ER -