A new scheme is presented in this paper for the speed estimation of moving targets on the ground is depends upon the focus quality of the image. In synthetic aperture radar imaging, the speed estimation of the ground moving targets is problem of interests, which plays important role in civilian and military applications. The image of moving targets is defocused, because of phase errors presents in the received signal due to the motion of the targets. These phase errors reduces the focus quality of the image. Hence, to improve the focusing quality of the image and to estimate the speed parameters, Adaptive order polynomial method with golden search is proposed in this work in which the filter coefficients are optimized to obtain the minimum entropy of the image. As the entropy minimization results in well focussed image and thereby compensating the phase errors, the speed parameters are calculated at the minimum entropy. The performance of the proposed method is better when compared with the existing Phase Gradients Autofocus (PGA) and Adaptive order polynomial methods.
Volume 11 | 02-Special Issue
Pages: 1024-1036