Performance Prediction of Multichannel Coherence Detector for Sonar Imagery

This paper addresses the problem of performance prediction and estimation for a multichannel coherence detector. The saddlepoint approximation is employed to approximate the empirical null distribution of the test statistics for the purpose of predicting the false alarm performance. The ability of t...

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Bibliographic Details
Main Authors: Klausner, Nick H., Azimi-Sadjadi, Mahmood R.
Format: Conference Proceeding
Language:English
Subjects:
Coherence
Covariance matrices
Detectors
generalized likelihood ratio test (GLRT)
Hafnium
Multichannel coherence detector
Random variables
saddlepoint approximation
Sonar Imagery
Synthetic aperture sonar
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Description
Summary:This paper addresses the problem of performance prediction and estimation for a multichannel coherence detector. The saddlepoint approximation is employed to approximate the empirical null distribution of the test statistics for the purpose of predicting the false alarm performance. The ability of the proposed method to achieve a prescribed false alarm rate is then examined for different background conditions using a Synthetic Aperture Sonar (SAS) imagery dataset.
ISSN:2381-8549
DOI:10.1109/ICIP.2019.8803685