Abstract
Gravitational wave (GW) detection is a typical open problem for extracting a significantly weak signal from a strong noise background. Therefore, in addition to building extremely sensitive detection installations to achieve the desired signal detection, a highly efficient data processing method is particularly important for identifying the detected signal. Different from the detection of mid and low frequency astrophysical source gravitational waves using laser interferometers, here we focus on the electromagnetic response detection of high-frequency gravitational waves using the modulated strong magnetic field technique. We discuss how to identify the stochastic gravitational wave signals from a strong background of Gaussian white noise by simulating the generation of a series of high-frequency stochastic gravitational wave detection data in the time domain. It is shown that, based on cross-correlation between the detection data obtained by two geosynchronous detection transpositions, the simulated high-frequency stochastic gravitational wave signals can be effectively identified. The current work should be useful in the future for constructing coincidence detection installations to probe the relevant high-frequency stochastic gravitational waves.
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