TY - GEN
T1 - Kernel adaptive Hammerstein filter
AU - Zheng, Yunfei
AU - Dong, Jiyao
AU - Ma, Wentao
AU - Chen, Badong
N1 - Publisher Copyright:
© EURASIP 2018.
PY - 2018/11/29
Y1 - 2018/11/29
N2 - To identify Hammerstein systems, a variety of Hammerstein filters have been proposed. However, most of them assume the nonlinear part in Hammerstein systems to be polynomial in the process of modeling, which restricts their applicability in many practical situations. In this paper, a simple kernel adaptive filter (KAF) called kernel least mean square (KLMS) combined with coherence criterion (CC) is used to approximate the nonlinear part of a Hammerstein system, resulting in the kernel adaptive Hammerstein filter (KAHF). The KAHF can identify various Hammerstein systems well without any prior knowledge of nonlinear part. Simulation results confirm the desirable performance of the new method.
AB - To identify Hammerstein systems, a variety of Hammerstein filters have been proposed. However, most of them assume the nonlinear part in Hammerstein systems to be polynomial in the process of modeling, which restricts their applicability in many practical situations. In this paper, a simple kernel adaptive filter (KAF) called kernel least mean square (KLMS) combined with coherence criterion (CC) is used to approximate the nonlinear part of a Hammerstein system, resulting in the kernel adaptive Hammerstein filter (KAHF). The KAHF can identify various Hammerstein systems well without any prior knowledge of nonlinear part. Simulation results confirm the desirable performance of the new method.
KW - Hammerstein system identification
KW - Infinite impulse response system
KW - Kernel adaptive filter
UR - https://www.scopus.com/pages/publications/85059818870
U2 - 10.23919/EUSIPCO.2018.8553381
DO - 10.23919/EUSIPCO.2018.8553381
M3 - 会议稿件
AN - SCOPUS:85059818870
T3 - European Signal Processing Conference
SP - 504
EP - 508
BT - 2018 26th European Signal Processing Conference, EUSIPCO 2018
PB - European Signal Processing Conference, EUSIPCO
T2 - 26th European Signal Processing Conference, EUSIPCO 2018
Y2 - 3 September 2018 through 7 September 2018
ER -