Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756192
