A modified generalized likelihood test for a class of detection problems

Author

Porat, Boaz ; Friedlander, Benjamin

Author_Institution

Dept. of Electr. Eng., Technion, Haifa, Israel

fYear

1992

Firstpage

436

Abstract

The generalized likelihood ratio test (GLRT) for a certain class of radar target detection problems is examined. This class is characterized by a model which is linear in some parameters and nonlinear in other. It is shown that the classical asymptotic analysis of the GLRT fails for this class, and the existence of ill-behaved cases in this class is demonstrated. A modification of the GLRT is proposed. The main advantage of this modification is in that its probability of false-alarm is easily computable, thus facilitating the choice of threshold according to the Neyman-Pearson criterion. Performance analysis of the modified GLRT is provided and supported by some simulations

Keywords

radar systems; signal detection; Neyman-Pearson criterion; false alarm probability; modified generalized likelihood test; radar target detection; Analytical models; Computational modeling; Detectors; Failure analysis; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Performance analysis; Signal detection; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269234

Filename

269234