Applications of nonlinear filtering in radar CFAR detection

Author

Ritcey, James A. ; Holm, John R.

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

6

fYear

1992

fDate

10-13 May 1992

Firstpage

2641

Abstract

The primary concern in radar constant false alarm rate (CFAR) design is the estimation of background noise distributions of known parametric form, but with unknown parameters. Most systems employ an adaptive detection threshold, using an estimate of the noise level to maintain a CFAR. Various nonlinear filtering algorithms, notably, order statistic (OS) filters, are used as the CFAR estimator. The authors review the application of such nonlinear filtering techniques, progressing from Gaussian to non-Gaussian situations. They present a new method for non-Gaussian clutter

Keywords

adaptive filters; filtering and prediction theory; parameter estimation; radar clutter; radar theory; signal detection; CFAR estimator; adaptive detection threshold; background noise distributions; constant false alarm; filtering algorithms; noise level estimation; non-Gaussian clutter; nonGaussian clutter; nonlinear filtering; order statistic filters; radar CFAR detection; Adaptive systems; Background noise; Clutter; Filtering algorithms; Filters; Noise level; Parametric statistics; Radar applications; Radar detection; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0593-0

Type

conf

DOI

10.1109/ISCAS.1992.230678

Filename

230678