ABSTRACT Surface Acoustic Wave (SAW) technology rapidly expands in modern sensing applications. Temperature, pressure and gases can be measured by SAW structure, configurable to be interrogated wirelessly. Presently, SAW sensor signal conditioning is mainly oriented to read the input-to-output phase difference by using analog circuits. Digital solutions are few (or not) explored, and its feasibility to process SAW signals in real conditions is unknown. This article studies two digital methods based on cross-correlation