Block-Division Based Ultra-Wideband Fusion of Multiple Radar Bands for Resolution Enhanced Imagery

Parametric model based ultra-wideband fusion of multiple radar band data is usually not directly applicable to radar image processing for large sized complex targets, due to the fact that the required model orders are extremely high. In this paper, a block-division based data fusion technique is proposed, which can be used for multiple radar band fusion over ultra-wide bandwidth and image resolution enhancement for complex targets. In image domain, a large sized complex target is first divided into small blocks for each radar band. Each block is then equivalent to a small sized simple target whose missing phase history data between two different radar bands can be interpolated based on parametric models derived from the measurement data of the corresponding bands. Resolution enhanced image can then be reconstructed by integrating all the image blocks generated from the multi-band fused data. Numerical examples are presented to demonstrate the usefulness of the proposed technique.