TY - GEN
T1 - Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing
AU - Ait-El-Fquih, Boujemaa
AU - Gouy-Pailler, Cedric
PY - 2013/10/18
Y1 - 2013/10/18
N2 - This paper addresses the problem of recursive estimation of a process in presence of outliers among the observations. It focuses on deriving robust approximate Kalman-like backward filtering and backward-forward fixed-interval smoothing algorithms in the context of linear hidden Markov chain with heavy-tailed measurement noise. The proposed algorithms are derived based on the backward Markovianity of the model as well as the variational Bayesian approach. In a simulation design, our algorithms are shown to outperform the classical Kalman filter in the presence of outliers.
AB - This paper addresses the problem of recursive estimation of a process in presence of outliers among the observations. It focuses on deriving robust approximate Kalman-like backward filtering and backward-forward fixed-interval smoothing algorithms in the context of linear hidden Markov chain with heavy-tailed measurement noise. The proposed algorithms are derived based on the backward Markovianity of the model as well as the variational Bayesian approach. In a simulation design, our algorithms are shown to outperform the classical Kalman filter in the presence of outliers.
KW - Backward Markovian models
KW - Kalman-like algorithms
KW - Robust filtering
KW - Robust smoothing
KW - Variational Bayes
UR - http://www.scopus.com/inward/record.url?scp=84890506216&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638716
DO - 10.1109/ICASSP.2013.6638716
M3 - Conference contribution
AN - SCOPUS:84890506216
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5504
EP - 5508
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -