Abstract
The impulse-responses of ultra-wideband antennas vary with the angles of transmission and arrival. In urban radar applications, unless exploited, this directivity degrades the localisation accuracy and defocusses the imaged targets. Moreover, multipath reflections caused by surrounding walls result in ghosts that appear in the indoor radar images. Compressive sensing (CS) is needed to attain the high image resolution with reduced sampling rate. In this study, the author design directional multipath dictionary to be utilised in CS algorithms to account for the directivity of the antenna and suppress ghosts during the sensing stage. Numerical results show the ability of the proposed directional dictionary to compensate for antenna directivity and to suppress ghosts with reduced number of measurements.
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