Vector subspace detection in compound-Gaussian clutter. Part II: performance analysis

Author

Gini, Fulvio ; Farina, Alfonso ; Montanari, Monica

Author_Institution

Dept. of Inf. Eng., Pisa Univ., Italy

Volume

38

Issue

4

fYear

2002

fDate

10/1/2002 12:00:00 AM

Firstpage

1312

Lastpage

1323

Abstract

For pt. I see ibid., vol. 38, no. 4, p. 1295 (2002). In this second part we deal with the problem of detecting subspace random signals against correlated non-Gaussian clutter modeled by the compound-Gaussian distribution. In the first part of the paper, we derived the optimum Neyman-Pearson (NP) detector, the generalized likelihood ratio test (GLRT), and a constant false-alarm rate (CFAR) detector; we also provided some interesting interpretations of them. In this second part, these detectors are tested against both simulated data and measured high resolution sea clutter data to investigate the dependence of their performance on the various clutter and signal parameters. Numerical examples concern a space-time adaptive processing (STAP) scenario and a ground-based surveillance radar system scenario.

Keywords

radar clutter; radar detection; search radar; space-time adaptive processing; compound-Gaussian clutter; constant false-alarm rate detector; correlated nonGaussian clutter; generalized likelihood ratio test; ground-based surveillance radar system; optimum Neyman-Pearson detector; sea clutter data; signal parameters; space-time adaptive processing; subspace random signals; vector subspace detection; Clutter; Detectors; Performance analysis; Radar detection; Sea measurements; Signal detection; Signal resolution; Spaceborne radar; Surveillance; Testing;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2002.1145752

Filename

1145752