Signal Detection in Arctic Under-Ice Noise

Abstract : This paper treats a signal detection problem using arctic under-ice noise. The authors have had access to one large segment of data (6150144 samples), which is nonstationary and has been shown to be non-Gaussian. A model is presented for the arctic under-ice noise, and the performance levels achieved by several different detectors are compared. The association between the shape of the empirical probability density function and the shape of the power spectrum is explored.