KEYWORDS: Signal to noise ratio, Signal detection, Interference (communication), Electromagnetism, Signal processing, Electronic filtering, Filtering (signal processing), Nonlinear optics, Sensors, Linear filtering
In this paper, we report on efforts to develop signal processing methods appropriate for the detection of man-made electromagnetic signals in the nonlinear and nonstationary underwater electromagnetic
noise environment of the littoral. Using recent advances in time series analysis methods [Huang et al., 1998], we present new techniques for detection and compare their effectiveness with conventional signal processing methods, using experimental data from recent field experiments. These techniques are based on an empirical mode decomposition which is used to isolate signals to be detected from noise without a priori assumptions. The decomposition generates a physically motivated basis for the data.
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