Title :
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
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;
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
DOI :
10.1109/ISCAS.1992.230678
