Title :
An automatic target recognition (ATR) scheme in colored Gaussian noise based on parametric model and hybrid algorithm
Author_Institution :
Inst. of Electron. Eng., China Acad. of Eng. Phys., Sichuan, China
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;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984743
