Covariance Structure of Surface Reverberation.
Final technical rept.,
HONEYWELL INC SEATTLE WASH MARINE SYSTEMS CENTER
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It has been recognized for some time that the design of an optimum receiver, in the Neyman-Pearson sense i.e., minimum probability of a missed detection for a given false-alarm rate, depends on a knowledge of the covariance structure of the noise into the receiver. In fact, if the noise is guassian, the noise covariance function is a sufficient noise statistic for the design of such a receiver. There is, therefore, ample incentive both for studying models which predict this function and for determining whether the noise is guassian. The report is concerned primarily with the results of surface backscatter experiments aimed at testing the validity of the Faure-Olshevskii-Middleton FOM model for reverberation which can be used to predict surface reverberation covariance functions. However, in the process of interpreting the data, some results is also presented concerning the guassianness of the observed reverberation. Author
- Acoustic Detection and Detectors