Robust signal detection using the bootstrap

Author

Ong, Hwa-Tung ; Zoubir, Abdelhak M.

Author_Institution

Commun. & Inf. Process. Group, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

3

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1197

Abstract

This paper presents a CFAR detector based on the bootstrap for detecting signals with unknown amplitude, phase and frequency such as found in conventional pulsed radar and sonar systems. The detector is robust against non-Gaussian noise, and can still maintain the false alarm rate without much modification if consistent estimates are substituted for unknown parameters. Preliminary asymptotic results are given on the performance of the detector, and simulations are used to study the performance for small samples sizes

Keywords

radar detection; radar interference; signal sampling; sonar detection; CFAR detector; amplitude; asymptotic results; bootstrap; constant false alarm rate; detector performance; frequency; non-Gaussian interference; nonGaussian noise; nonparametric method; phase; pulsed radar systems; robust signal detection; simulations; small samples sizes; sonar systems; Frequency estimation; Gaussian noise; Noise robustness; Phase detection; Phase frequency detector; Radar detection; Satellites; Signal detection; Sonar detection; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.756192

Filename

756192