Analysis of the Monostatic-Bistatic Equivalence Theorem for Drone RCS Characterization in ISAC Channels

Integrated Sensing and Communication (ISAC) is central to 6G networks, requiring accurate radar crosssection (RCS) modelling for reliable sensing. While monostatic RCS of simple objects is well studied, RCS characterization of autonomous aerial vehicles (AAVs) remains limited due to complexity and cost, especially in bistatic settings. The Monostatic-Bistatic Equivalence Theorem (MBET) and its variants are often used to estimate bistatic RCS, but their validity remains uncertain for complex targets and wide frequency bands. This work investigates the applicability of MBET and its variants for AAVs in ISAC scenarios, assessing their effectiveness for bistatic RCS prediction under non-ideal conditions.