Signal Processing for Seismic Surveillance.
Final technical rept.,
ORINCON CORP LA JOLLA CA
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The objective in preparing this report is to provide a perspective on the signal processing problem that must be solved in order to produce a useful seismic surveillance system. The point-of-view is taken that the problem is nontrivial, thereby requiring a particularly careful development of the signal processing algorithms. The surveillance system is faced with the problem of detecting weak signals in the presence of incoherent and coherent noise sources. The signals that are sought generally have an unknown structure except for some important qualitative characteristics. There qualitative characteristics are identified by considering the propagation of seismic energy in terms of the possible wave types, propagation paths, and frequency ranges of possible signals. The presentation is composed of three major sections. In Part I, basic physical considerations regarding the propagation and sensing of seismic energy are reviewed. This discussion provides physical motivation for the development of suitable signal processing algorithms. The general signal processing problem is defined in Part II. Array processing is reviewed and fundamental concepts are introduced in this section. General array processing algorithms are presented in Part III.
- Statistics and Probability