Adaptive Detection of Point-Like Targets in the Presence of Homogeneous Clutter and Subspace Interference

Author

Aubry, A. ; De Maio, A. ; Orlando, Danilo ; Piezzo, M.

Author_Institution

Dipt. di Ing. Elettr. e Tecnol. dell´Inf., Univ. degli Studi di Napoli Federico II, Naples, Italy

Volume

21

Issue

7

fYear

2014

fDate

Jul-14

Firstpage

848

Lastpage

852

Abstract

In this letter, we devise an adaptive decision scheme for point-like targets capable of handling the joint presence of homogeneous clutter and structured interference in the primary and secondary data. To this end, we resort to a design procedure based on the method of sieves: the usual generalized likelihood ratio test (GLRT) is modified constraining the unknown parameters to belong to a suitable subset of the original space ensuring unique solutions for the involved optimizations. Remarkably, the proposed receiver possesses the constant false alarm rate (CFAR) property with respect to the unknown covariance matrix of the unstructured interference. At the analysis stage, closed-form expressions for the false alarm and detection probabilities are derived.

Keywords

covariance matrices; interference; optimisation; radar receivers; target tracking; CFAR property; GLRT; adaptive decision scheme; adaptive detection; adaptive radar receievers; constant false alarm rate; covariance matrix; design procedure; generalized likelihood ratio test; homogeneous clutter; optimisations; point like targets; structured interference; subspace interference; unstructured interference; Clutter; Jamming; Linear matrix inequalities; Maximum likelihood estimation; Receivers; Vectors; Constant False Alarm Rate (CFAR); method of Sieves; modified Generalized Likelihood Ratio Test (MGLRT); structured interference; target detection;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2309434

Filename

6754127