Title :
The multifamily likelihood ratio test for multiple signal model detection
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Rhode Island, Kingston, RI, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
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.
Keywords :
maximum likelihood detection; pattern classification; signal classification; signal resolution; GLRT; generalized likelihood ratio test; multifamily likelihood ratio test; multiple signal model detection; pattern classification; signal parameter; signal resolution; standard tool; Detectors; Gaussian noise; Maximum likelihood estimation; Pattern classification; Signal design; Signal detection; Signal processing; Signal resolution; Statistical analysis; Testing; Modeling; pattern classification; signal detection; signal resolution;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.845590
