Robust CFAR detection in nonhomogeneous correlated interference

Author

Wang, Hong ; Cai, Lujing

Author_Institution

Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA

Volume

5

fYear

1992

fDate

23-26 Mar 1992

Firstpage

373

Abstract

Among the few adaptive filtering algorithms which have an embedded constant false alarm rate (CFAR) performance feature, the generalized likelihood ratio (GLR) test algorithm has been found to be robust in the non-Gaussian interference. The detection performance of the GLR algorithm is examined in nonhomogeneous/nonstationary interference environments which cause the non-identically distributed secondary (training) data. For two common types of nonhomogeneity, i.e. the signal contamination and interference edge, the symptotic detection performance is derived and compared to the simulation. The GLR performance loss due to the nonhomogeneity is also evaluated

Keywords

interference (signal); probability; signal detection; CFAR detection; GLR algorithm; adaptive filtering algorithms; constant false alarm rate; detection performance; generalised likelihood ratio test; interference edge; nonGaussian interference; nonhomogeneous correlated interference; signal contamination; simulation; Adaptive filters; Covariance matrix; Embedded computing; Filtering algorithms; Interference suppression; Performance loss; Robustness; Sensor arrays; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226605

Filename

226605