SIMULATION OF AUTOMATIC TARGET RECOGNITION IN HIGH SPEED MANEUVERING ENVIRONMENT BASED ON SAR IMAGING

摘要

Synthetic aperture radar(SAR) has all-weather, all-weather remote sensing data acquisition capabil-ities, and it has been widely used in map surveying, disaster management and other fields. Aiming at the high-speed mobile flight platform, this paper derives the two-dimensional spectrum of the echo,and ob-tains the method ofcompensating the three-direction velocity and acceleration ofthe platform in the two-dimensional frequency domain. For large squint sit-uations, we makes improvements on the basis of the traditional spotlightbeam domain algorithm. In large squint situations, it solves many problems caused by three-dimensional acceleration and satisfies high resolution imaging requirements. Then,a simulation is carried out and the simulation results of several al-gorithms are compared. It is found that in an ideal environment, the several algorithms mentioned in this article can image clearly, but in a complex envi-ronment, the imaging results of traditional algo-rithms will be severely blurred, and in small In the case of oblique viewing angles, the two algorithms proposed in this article can focus imaging. In the case of large squint angles, the imaging quality pa-rameters of the second algorithm proposed meet the standards of clear imaging, which proves that in the complex high-speed mobile environment. The algo-rithm has greater superiority compared with other al-gorithms.