Research on Ship Target Auto-Recognition Technique for Low Resolution Radar

Author

Junping, Sun ; Yi, Dai

Author_Institution

East China Res. Inst. of Electron. Eng., Hefei

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

An auto-recognition method of ship with low resolution radar is presented in the paper using multi transform technique. The radar target echo is sampled and preprocessed to suppress clutter first. Then characteristic vectors of the target are extracted with FFT transform, Mellin transform, wavelet transform and frame correlation processing. Experiments are carried out for the proposed method with three kinds of real radar echo data of ship target, the results indicate that the characteristics vector extracted by the proposed method in this paper is valuable for target classification

Keywords

correlation methods; fast Fourier transforms; feature extraction; marine radar; radar clutter; radar resolution; radar target recognition; ships; wavelet transforms; FFT; Mellin transform; clutter suppression; echo; fast Fourier transform; frame correlation processing; low resolution radar; multi transform technique; ship target auto-recognition technique; target classification; vector extraction; wavelet transform; Bismuth; Clutter; Data mining; Feature extraction; Fourier transforms; Marine vehicles; Radar; Signal to noise ratio; Target recognition; Wavelet transforms; Correlation; FFT; Feature vector; Mellin Transform; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343325

Filename

4148562