Optical Processing of Acoustic Signals.
Abstract
The detection and classification of acoustic transient signals is discussed. The specific problem considered is the detection of weak transients in the presence of colored Gaussian sea noise. The random repeated occurrence of known transient waveforms is modeled mathematically as a recurrence process, and three optimum detection procedures are derived using the techniques of statistical communication theory. One technique is an extension of Nolte's optimum adaptive detector, while the others involve orthogonal expansion representations of the received data. In addition, several suboptimum correlation techniques are investigated and compared in performance to the optimum detector. The structures of all the detectors are discussed, and are shown to be modifications of correlation detectors. The implementation of these detectors by optical processing techniques is described, as is the implementation of several required nonlinear operations. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1969
- Accession Number
- AD0727624
Entities
People
- Stanley J. Kishner