A Computationally Efficient CFAR Algorithm Based on a Goodness-of-Fit Test for Piecewise Homogeneous Environments

Author

Jeong Hun Kim ; Bell, M.R.

Author_Institution

Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

49

Issue

3

fYear

2013

fDate

Jul-13

Firstpage

1519

Lastpage

1535

Abstract

A new constant false alarm rate (CFAR) detection algorithm operating in nonhomogeneous clutter is proposed. The proposed CFAR algorithm, cell-under-test (CUT) inclusive (CI) CFAR, utilizes a goodness-of-fit test for determining and combining homogeneous windows, which results in a higher detection performance. The CI-CFAR algorithm layout and analytical properties for the ideal case are investigated. In comparison with the traditional cell-averaging (CA) CFAR and order-statistic (OS) CFAR, it is demonstrated that CI-CFAR outperforms both in most situations.

Keywords

radar clutter; radar detection; statistics; CA; CFAR detection algorithm; CI-CFAR algorithm; CUT; OS; cell-averaging CFAR; cell-under-test inclusive CFAR; constant false alarm rate detection algorithm; goodness-of-fit testing; nonhomogeneous clutter; order-statistic CFAR; piecewise homogeneous environment; radar detection; Algorithm design and analysis; Clutter; Computational efficiency; Detectors; Image segmentation; Radar detection;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2013.6558002

Filename

6558002