Adaptive Integration Time in Automotive SAR

In this paper, we propose an adaptive sub-aperture integration approach for wide-angle synthetic aperture radar (SAR) with emphasis on the automotive applications. Traditional SAR integration approaches use fixed-width sub-apertures. These approaches suffer from the fact that scatterers may have different persistence widths over the angular aperture and can result in spreading the response across multiple sub-apertures or, conversely, coherently integrate extra noise with the signal. Our proposed method employs change-point detection to identify the persistence widths of the scatterers and consequently increases the coherent integration gain. Experimental results on two datasets validate our proposed methodology.