MG11 
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Detecting a stochastic background of gravitational waves in the presence of non-Gaussian noise

We discuss the signal processing for detecting a stochastic background of gravitational waves in the presence of non-Gaussian noise. Fundamental methodology to detect weak stochastic signals is to use the cross-correlation statistic which combines the outputs of two gravitational detectors. However, the standard cross-correlation is optimal only if the detector noise obeys a stationary Gaussian process. In reality, deviation from Gaussian process becomes significant and it is important to explore robust statistic for the data analysis in the presence of non-Gaussian noise. In this talk we analyze a generalized cross-correlation statistic which is nearly optimal even in the presence of non-Gaussian noise.