Adaptive matched subspace detectors and adaptive coherence estimators

We adapt the matched subspace detectors (MSDs) of Scharf (1991) and Scharf and Friedlander (see IEEE Trans. Signal Proc., vol.42, no.8. p.2146-57, 1994) to unknown noise covariance matrices in order to produce adaptive MSDs that may be applied to signal detection in radar, sonar, mobile communicatio...

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Bibliographic Details
Main Authors: Scharf, L.L., McWhorter, L.T.
Format: Conference Proceeding
Language:English
Subjects:
Covariance matrix
Detectors
Direction of arrival estimation
Maximum likelihood detection
Mobile communication
Radar detection
Signal detection
Sonar applications
Sonar detection
Statistics
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Summary:We adapt the matched subspace detectors (MSDs) of Scharf (1991) and Scharf and Friedlander (see IEEE Trans. Signal Proc., vol.42, no.8. p.2146-57, 1994) to unknown noise covariance matrices in order to produce adaptive MSDs that may be applied to signal detection in radar, sonar, mobile communication, and DOA estimation. A special case of the adaptive MSD uses the Reed (1974) ratio statistic and a special cease of the adaptive CFAR MSD uses an adaptive coherence estimator (ACE). We compare and contrast the invariances and performance of the two detectors and discuss extensions of them that make them maximum likelihood MSDs.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1996.599116