Before revision:  Compared to  standard cross-correlation, SparseXcorr uses only 30-40\% measurements to obtain precise range estimates with an additional bias of only 2-6 cm for applications with high accuracy requirement; whereas for applications with less constrained accuracy levels, only 5\% measurements are adequate to achieve approximately 100cm ranging precision.
After revision:  Compared to standard cross-correlation, SparseXcorr uses only 30-40\% measurements to obtain precise range estimates with a bias of 2-6cm with 30\% and approximately 100cm with 5\% measurements are adequate to achieve approximately 100cm ranging precision.