Active sensor imaging by wavelet and Gabor theories

Abstract

In the present paper, two new algorithms are studied by taking advantage of time frequency analysis techniques. Wavelet and Gabor theories are applied to active imaging by sensors such as radars. This is achieved by estimating a new target density function (TDF). It is shown how wavelet and Gabor transforms can be used to imaging by active sensors by transmitting a waveform which is a kernel for these transforms. Both wavelet and Gabor theories satisfy a new TDF kernel as the direction range density function. The windowing characteristics of both theories are plausible to reaching an accurate imaging. The presented TDF is developed by a novel range scanning angle plane different from the conventional methods. Although both imaging techniques are obtained via the linear phased array radars, the problem associated with beam forming is bypassed in both theories.