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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지에서는 충동성 잡음 억제를 위해 VFF(Variable Forgetting Factor)를 갖춘 강력한 적응형 필터를 제안합니다. 제안된 방법은 M-estimator를 이용하여 매개변수의 섭동을 제한하고, VFF를 이용하여 임펄스 잡음으로 인한 오류 전파를 적응적으로 감소시킬 수 있다. 시뮬레이션 결과, 제안된 알고리즘의 성능은 기존 칼만 필터 기반 알고리즘에 비해 충격성 잡음에 덜 취약한 것으로 나타났다.
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부
Han-Su KIM, Jun-Seok LIM, SeongJoon BAEK, Koeng-Mo SUNG, "Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 1, pp. 363-366, January 2001, doi: .
Abstract: In this letter, we propose a robust adaptive filter with a Variable Forgetting Factor (VFF) for impulsive noise suppression. The proposed method can restrict the perturbation of the parameters using M-estimator and adaptively reduce the error propagation caused by the impulsive noise using VFF. Simulations show that the performance of the proposed algorithm is less vulnerable to the impulsive noise than those of the conventional Kalman filter based algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_1_363/_p
부
@ARTICLE{e84-a_1_363,
author={Han-Su KIM, Jun-Seok LIM, SeongJoon BAEK, Koeng-Mo SUNG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise},
year={2001},
volume={E84-A},
number={1},
pages={363-366},
abstract={In this letter, we propose a robust adaptive filter with a Variable Forgetting Factor (VFF) for impulsive noise suppression. The proposed method can restrict the perturbation of the parameters using M-estimator and adaptively reduce the error propagation caused by the impulsive noise using VFF. Simulations show that the performance of the proposed algorithm is less vulnerable to the impulsive noise than those of the conventional Kalman filter based algorithms.},
keywords={},
doi={},
ISSN={},
month={January},}
부
TY - JOUR
TI - Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 363
EP - 366
AU - Han-Su KIM
AU - Jun-Seok LIM
AU - SeongJoon BAEK
AU - Koeng-Mo SUNG
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2001
AB - In this letter, we propose a robust adaptive filter with a Variable Forgetting Factor (VFF) for impulsive noise suppression. The proposed method can restrict the perturbation of the parameters using M-estimator and adaptively reduce the error propagation caused by the impulsive noise using VFF. Simulations show that the performance of the proposed algorithm is less vulnerable to the impulsive noise than those of the conventional Kalman filter based algorithms.
ER -