Time-frequency matched field processing for time varying sources

Deterministic broadband time-varying pulses such as chirp signals are widely used in seismic applications to determine the layering structure of the earth. Various broadband matched field processors (MFP) which have been already developed for use in inversion rely on only their frequency distribution so their performance fails in the presence of similar powerful broadband correlated noises. Because chirp and other deterministic time-varying signals have distinct signatures in time-frequency space, we have introduced a cross relation based MFP in time-frequency space that incorporates these signatures in the processing to counter the effect of broadband correlated noises in the received data. Additionally, white noise can be removed by using a cross-cross relation (CCR) time-frequency (TF)-MFP that contains only cross components of the received signals in its structure. We demonstrate the advantages of this process over the conventional MFPs to date