Exploitation of antenna directivity for compressed indoor radar imaging with ghost suppression


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 seem in the indoor radar pictures. Compressive sensing (CS) is required to realize the high image resolution with reduced sampling rate. During 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 throughout the sensing stage. Numerical results show the power of the proposed directional dictionary to compensate for antenna directivity and to suppress ghosts with reduced range of measurements.

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