On the SlowTime kSpace and its Augmentation in Doppler Radar Tomography Doppler Radar Tomography (DRT) relies on spatial diversity from rotational motion of a target rather than spectral diversity from wide bandwidth signals. The slowtime kspace is a novel form of the spatial frequency space generated by the relative rotational motion of a target at a single radar frequency, which can be exploited for highresolution target imaging by a narrowband radar with Doppler tomographic signal processing. This paper builds on a previously published work and demonstrates, with real experimental data, a unique and interesting characteristic of the slowtime kspace: it can be augmented and significantly enhance imaging resolution by signal processing. High resolution can reveal finer details in the image, providing more information to identify unknown targets detected by the radar.

Compressive SensingBased Bandwidth Stitching for Multichannel Microwave Radars The problem of obtaining high range resolution (HRR) profiles for noncooperative target recognition by coherently combining data from narrowband radars was investigated using sparse reconstruction techniques. If the radars concerned operate within different frequency bands, then this process increases the overall effective bandwidth and consequently enhances resolution. The case of unknown range offsets occurring between the radarsxe2x80x99 range profiles due to incorrect temporal and spatial synchronisation between the radars was considered, and the use of both pruned orthogonal matching pursuit and refined     l 1    norm regularisation solvers was explored to estimate the offsets between the radarsxe2x80x99 channels so as to attain the necessary coherence for combining their data. The proposed techniques were demonstrated and compared using simulated radar data.