IEICE TRANSACTIONS on Communications
Asynchronous Periodic Interference Signals Cancellation in Frequency Domain
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.9 pp.1087-1096
- Publication Date
- 2022/09/01
- Publicized
- 2022/03/24
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3187
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Satoshi DENNO
Okayama University
Yafei HOU
Okayama University
Keyword
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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},}
Copy
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 -
English
