Abstract :
The author addresses the problem of detecting and identifying stationary and moving targets with foliage penetrating UHF synthetic aperture radar (SAR). The role of a target´s coherent SAR signature, which varies with the radar´s frequency and aspect angle, in forming the Fourier space of the SAR signal is analyzed. The resultant relationship is the basis of an algorithm which, after extracting (digital spotlighting) the target´s coherent SAR signature in the reconstruction domain, could be used to differentiate man-made structures from foliage. Methods for blind-velocity moving target indication are discussed. The main tool of the work is a signal theory based analysis of SAR signal via Fourier transform. However, the theory is at most as good as the collected SAR data
Keywords :
Fourier transforms; image reconstruction; radar detection; radar imaging; radar signal processing; radar target recognition; radar theory; synthetic aperture radar; Fourier space; Fourier transform; algorithm; aspect angle; blind-velocity; coherent SAR signature; digital spotlighting; foliage penetration; frequency; man-made structures; moving targets; reconnaissance; reconstruction domain; signal theory based analysis; stationary targets; target detection; target identification; ultra wideband UHF synthetic aperture radar; Digital signal processing; High-resolution imaging; Multidimensional signal processing; Optical imaging; Radar detection; Reconnaissance; Signal processing; Signal processing algorithms; Synthetic aperture radar; Ultra wideband technology;
