An automatic target recognition (ATR) scheme in colored Gaussian noise based on parametric model and hybrid algorithm

Author

Wang, Jun

Author_Institution

Inst. of Electron. Eng., China Acad. of Eng. Phys., Sichuan, China

fYear

2001

fDate

2001

Firstpage

468

Lastpage

470

Abstract

This paper firstly presents a concise and physically relevant parametric model for use in automatic target recognition (ATR), data compression and scattering studies. Then, the extraction algorithm of high-resolution target feature vectors for ATR in the presence of colored Gaussian noise is developed, which is not restricted by the low SNR and Rayleigh resolution limit. Therefore, an eight-stage ATR scheme based on the hybrid algorithm is proposed. The experimental results show its practicability in the application

Keywords

Gaussian noise; backscatter; data compression; electromagnetic wave scattering; feature extraction; radar resolution; radar signal processing; radar target recognition; Rayleigh resolution limit; SNR; automatic target recognition; backscattering field; colored Gaussian noise; damped complex exponential sequence; data compression; feature extraction algorithm; high-resolution target feature vectors; hybrid algorithm; low-noise microwave anechoic chamber; parametric model; radar target recognition; scattering centers; spotlight SAR; Bandwidth; Energy resolution; Frequency; Gaussian noise; Parametric statistics; Radar scattering; Rayleigh scattering; Resonance light scattering; Signal to noise ratio; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2001 CIE International Conference on, Proceedings

Conference_Location

Beijing

Print_ISBN

0-7803-7000-7

Type

conf

DOI

10.1109/ICR.2001.984743

Filename

984743