E. Chassande-mottin et Sv. Dhurandhar, Adaptive filtering techniques for gravitational wave interferometric data:Removing long-term sinusoidal disturbances and oscillatory transients - art. no. 042004, PHYS REV D, 6304(4), 2001, pp. 2004
It is known by the experience gained from the gravitational wave detector p
rototypes that the interferometric output signal will be corrupted by a sig
nificant amount of non-Gaussian noise, a large part of it bring essentially
composed of long-term sinusoids with a slowly varying envelope (such as vi
olin resonances in the suspensions, or main power harmonics) and short-term
ringdown noise (which may emanate from servo control systems, electronics
in a nonlinear state, etc.). Since non-Gaussian noise components make the d
etection and estimation of the gravitational wave signature more difficult,
a denoising algorithm based on adaptive filtering techniques (LMS methods)
is proposed to separate and extract them from the stationary and Gaussian
background noise. The strength of the method is that it does not require an
y precise model on the observed data: the signals are distinguished on the
basis of their autocorrelation time. We believe that the robustness and sim
plicity of this method make it useful for data preparation and for the unde
rstanding of the first interferometric data. We present the detailed struct
ure of the algorithm and its application to both simulated data and real da
ta from the LIGO 40 m prototype.