In this way, both target location and target velocity are acquired, and high-resolution moving target SAR images are obtained.
On the contrary, if the azimuth matched filter focuses the image of the moving target ideally, the image of background will be smeared by the same length as ρsmear.
For each detected moving target in the SAR image, a slice which covers all the range bins that the moving target occupies is cropped.
Moving target detection in SAR image is a difficulty, because the slowly moving target may be totally submerged among the main-beam clutter in spatial, time, and frequency domain.
When visually tracking a moving target to maintain its image on the fovea, spatial and temporal predictions are used to circumvent the neural delay required for the visuomotor processing.
With the development of spaceborne synthetic aperture radar (SAR) systems, the functions, such as SAR image, ground moving target indication (GMTI), and SAR interferometry (InSAR), have been well performed [1 4].
then the image of the moving target will be smeared in M ( α, α m ) = 1 + | α − α m | λ R 0 2 ρ a 2 (13).
One principal reason lies in that the image of the moving target may be smeared slightly and thus the corresponding feature curve becomes so flat that the peak may appear at the position far from the real velocity value.
Equation (8) indicates that the image of the moving target is smeared approximately in 1 + | α m | λ R 0 / ( 2 ρ a 2 ) azimuth resolution cells when its azimuth returns are compressed by (5).
When high-resolution radar imaging is applied to imaging of multiple targets moving in the same radar beam, the conventional motion compensation algorithms, which are suitable for a single moving target, cannot obtain a well-focused image due to the low correlation between adjacent returned signals [4 7].
