The seismic sources localization using distributed sensor arrays

In this paper, we describe the application of the analytic signal in the original FLIPPED technique. The computed cross-correlation between a signal and its "flipped" pair is a smooth function which peak can be accurately detected. We propose a "flipped parameter" that contains all necessary information related to a sensor in the sensor field. The flipped parameters are sufficient to determine all differential delays of the signals related to the same excitation, detected in sensors. The flipped technique can be successfully used in two-step methods of source localization with significantly less operations in comparison to the classic linear cross-correlation. Using simulated seismic signals, we illustrate the error of the source localization in the presence of noise. We demonstrate the supremacy of the proposed technique in comparison to the classic methods that use real signals.