Recovery of seismic signals in noise by adaptive processing

This paper describes techniques for use in improving the signal-to-noise ratio of electrical signals buried in noise from seismic sensors. Often not enough information is available about the characteristics of either the signal or the noise to permit the use of more classical detection methods, i.e., matched filtering, likelihood detectors, array averaging, etc. Adaptive processing can be of benefit in these cases. Examples of Sandia's work in improved performance of perimeter intrusion detection systems is presented.