No abstract

No abstract

No abstract

In this study, we address a simple cognitive architecture to design a radar waveform that fills the gaps in the radio-frequency spectrum and matches the target scattering properties. The metric used to calculate the radar waveform is the Mutual Information between the received signal and the target impulse response. Particular attention is paid to analyse the impact of the properties of the communication signals on the chosen metric, for both ideal and non-ideal cases.

The motion of targets is well known to result in their defocusing and displacement in SAR imagery, but detection of motion and re‐focusing of targets under generic conditions remains an ongoing interest. One class of methods involves forming images of sub‐apertures in which motion defocusing will be reduced. In this paper, dynamic tomographic image formation methods utilising an optical flow constraint is used to form a video of SAR sub‐aperture images. These retain fine resolution of the full aperture, focusing along‐track motion.