Wavelet detectors for wideband radar signals

Author

Xiao-Ping, Zhang ; Li-Sheng, Tian ; Ying-ning, Peng

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

1996

fDate

8-10 Oct 1996

Firstpage

289

Lastpage

292

Abstract

A type of detection problem of the wideband transients which are often encountered in wideband radar and sonar applications is formulated. On the basis of wavelet theory, the optimal matched detection in the time-scale domain is introduced and several detectors are developed. The mother wavelet applied in the detection is designed by the neural network we developed. The performance of the detectors is analyzed by Monte-Carlo simulation. The numerical results show that the detectors are often effective and robust

Keywords

filtering theory; matched filters; neural nets; radar applications; radar detection; time-domain analysis; transient analysis; wavelet transforms; Monte-Carlo simulation; detector performance; matched filter; mother wavelet; neural network; numerical results; optimal matched detection; time-scale domain; wavelet detectors; wavelet theory; wideband radar applications; wideband radar signals; wideband sonar applications; wideband transients; Detectors; Neural networks; Optimal matching; Performance analysis; Radar applications; Radar detection; Robustness; Sonar applications; Sonar detection; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 1996. Proceedings., CIE International Conference of

Conference_Location

Beijing

Print_ISBN

0-7803-2914-7

Type

conf

DOI

10.1109/ICR.1996.574444

Filename

574444