The multifamily likelihood ratio test for multiple signal model detection

The multifamily likelihood ratio test for multiple signal model detection

The generalized likelihood ratio test (GLRT) is a standard tool for designing signal detectors. It produces detectors that perform well when the signal model is known, except for a fixed set of signal parameters. However, it is unable to accommodate multiple signal models. We introduce the multifami...

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Veröffentlicht in:IEEE signal processing letters 2005-05, Vol.12 (5), p.369-371
1. Verfasser: Kay, S.M.
Format: Artikel
Sprache:eng
Schlagworte:
Detectors
Gaussian noise
Maximum likelihood estimation
Modeling
Pattern classification
Signal design
Signal detection
Signal processing
Signal resolution
Statistical analysis
Testing
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Zusammenfassung:The generalized likelihood ratio test (GLRT) is a standard tool for designing signal detectors. It produces detectors that perform well when the signal model is known, except for a fixed set of signal parameters. However, it is unable to accommodate multiple signal models. We introduce the multifamily likelihood ratio test, which extends the GLRT and alleviates this limitation.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2005.845590